16 AI Architect jobs in Australia
AI/ML Security Architect and Engineer
Melbourne, Victoria
IBM
Posted 9 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
AI/ML Security Architect and Engineer
Sydney, New South Wales
IBM
Posted 9 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
1
AI/ML Security Architect and Engineer
Canberra, Australian Capital Territory
IBM
Posted 9 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
Cloud Solution Architect - Azure Data, Analytics & AI
Sydney, New South Wales
Microsoft Corporation
Posted 14 days ago
Job Viewed
Job Description
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We are looking for an experienced individual to join our team as a **Cloud and AI Solution Architect (CSA)** , specializing in **Azure Data, Analytics & AI** technologies to accelerate our customers' transformation on **Microsoft Azure** . This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. You will help our customers architect and deploy first class cloud infrastructure solutions in Azure and to be AI Ready by applying scalable best practices in the cloud leveraging principles from the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Azure is the most comprehensive, innovative, and flexible cloud platform today providing you with the technical platform and opportunity to work with Australia's largest and most important public sector and commercial companies to drive customer cloud adoption for AI innovation and influence transformational customer change.
This role is flexible in that you can work up to 50% from home.
**Responsibilities**
**Customer & Business Impact**
+ Deliver solutions aligned with Microsoft methodologies (e.g., VBDs, training, technical validation) to support customer operational readiness and business goals.
+ Collaborate across Microsoft and customer/partner teams to drive satisfaction and successful solution deployment.
+ Identify and mitigate blockers, manage risks, and ensure compliance with industry and Microsoft standards.
+ Contribute to identifying opportunities for consumption and usage growth, especially in Enhanced Solutions, by aligning technical solutions with customer value.
**Customer Engagement & Experience**
+ Support customer adoption of Microsoft-aligned solutions and contribute to defining conditions of success.
+ Build relationships with technical decision-makers and help bridge communication with business stakeholders.
+ Act as the voice of the customer by sharing insights and feedback to influence product development and improve customer experience.
+ Address customer dissatisfaction and contribute to strategies that enhance value realisation and transformation acceleration.
**Partner Collaboration**
+ Assist partners in developing scalable offerings and support initial customer implementations.
+ Provide technical enablement and pre-sales support to unblock opportunities and grow solution utilisation.
+ Initiate actions to address market opportunities and collaborate with internal stakeholders to support partner success.
**Technical Leadership**
+ Identify gaps and contribute to improvements in products, processes, and methodologies.
+ Demonstrate technical readiness and support team upskilling aligned with solution area and corporate priorities.
+ Participate in virtual teams and community engagements to share insights and elevate Microsoft's technical brand.
+ Contribute to intellectual property development and scalable models, including emerging scenarios like AI and CoPilot.
**Qualifications**
**Required / Minimum Qualifications**
+ Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field **AND** 2+ years of experience in one or more of the following areas:
+ Cloud/infrastructure technologies
+ IT consulting or support
+ Systems administration
+ Network operations
+ Software development or support
+ Technology solutions
+ Practice development
+ Architecture
+ Consulting **OR** equivalent experience
**Preferred Qualifications**
+ Bachelor's degree in a relevant field **AND** 5+ years of experience in the areas listed above **OR** Master's degree in a relevant field **AND** 3+ years of experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting **OR** equivalent experience
+ 2+ years of experience in a customer-facing role (internal or external)
+ 2+ years of experience working on technical projects
+ Technical certification in cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud) or security
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We are looking for an experienced individual to join our team as a **Cloud and AI Solution Architect (CSA)** , specializing in **Azure Data, Analytics & AI** technologies to accelerate our customers' transformation on **Microsoft Azure** . This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. You will help our customers architect and deploy first class cloud infrastructure solutions in Azure and to be AI Ready by applying scalable best practices in the cloud leveraging principles from the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Azure is the most comprehensive, innovative, and flexible cloud platform today providing you with the technical platform and opportunity to work with Australia's largest and most important public sector and commercial companies to drive customer cloud adoption for AI innovation and influence transformational customer change.
This role is flexible in that you can work up to 50% from home.
**Responsibilities**
**Customer & Business Impact**
+ Deliver solutions aligned with Microsoft methodologies (e.g., VBDs, training, technical validation) to support customer operational readiness and business goals.
+ Collaborate across Microsoft and customer/partner teams to drive satisfaction and successful solution deployment.
+ Identify and mitigate blockers, manage risks, and ensure compliance with industry and Microsoft standards.
+ Contribute to identifying opportunities for consumption and usage growth, especially in Enhanced Solutions, by aligning technical solutions with customer value.
**Customer Engagement & Experience**
+ Support customer adoption of Microsoft-aligned solutions and contribute to defining conditions of success.
+ Build relationships with technical decision-makers and help bridge communication with business stakeholders.
+ Act as the voice of the customer by sharing insights and feedback to influence product development and improve customer experience.
+ Address customer dissatisfaction and contribute to strategies that enhance value realisation and transformation acceleration.
**Partner Collaboration**
+ Assist partners in developing scalable offerings and support initial customer implementations.
+ Provide technical enablement and pre-sales support to unblock opportunities and grow solution utilisation.
+ Initiate actions to address market opportunities and collaborate with internal stakeholders to support partner success.
**Technical Leadership**
+ Identify gaps and contribute to improvements in products, processes, and methodologies.
+ Demonstrate technical readiness and support team upskilling aligned with solution area and corporate priorities.
+ Participate in virtual teams and community engagements to share insights and elevate Microsoft's technical brand.
+ Contribute to intellectual property development and scalable models, including emerging scenarios like AI and CoPilot.
**Qualifications**
**Required / Minimum Qualifications**
+ Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field **AND** 2+ years of experience in one or more of the following areas:
+ Cloud/infrastructure technologies
+ IT consulting or support
+ Systems administration
+ Network operations
+ Software development or support
+ Technology solutions
+ Practice development
+ Architecture
+ Consulting **OR** equivalent experience
**Preferred Qualifications**
+ Bachelor's degree in a relevant field **AND** 5+ years of experience in the areas listed above **OR** Master's degree in a relevant field **AND** 3+ years of experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting **OR** equivalent experience
+ 2+ years of experience in a customer-facing role (internal or external)
+ 2+ years of experience working on technical projects
+ Technical certification in cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud) or security
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
3
Sr Cloud Solution Architect - Azure Data, Analytics & AI
Brisbane, Queensland
Microsoft Corporation
Posted 14 days ago
Job Viewed
Job Description
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We are looking for an experienced individual to join our team as a **Sr Cloud and AI Solution Architect (CSA)** , specializing in **Azure Data, Analytics & AI** technologies to accelerate our customers' transformation on **Microsoft Azure** . This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. You will help our customers architect and deploy first class cloud infrastructure solutions in Azure and to be AI Ready by applying scalable best practices in the cloud leveraging principles from the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Azure is the most comprehensive, innovative, and flexible cloud platform today providing you with the technical platform and opportunity to work with Australia's largest and most important public sector and commerical companies to drive customer cloud adoption for AI innovation and influence transformational customer change.
This role is flexible in that you can work up to 50% from home.
**Responsibilities**
**Customer & Business Impact**
+ Deliver value-based solutions aligned with Microsoft methodologies to support customer operational readiness and business goals.
+ Guide customers toward secure, resilient, AI-enabled, and optimised architectures to drive retention and expansion.
+ Collaborate with account teams to build consumption plans and provide feedback to improve delivery offerings.
+ Identify cross-solution opportunities and consult strategically to align technical solutions with customer outcomes.
**Customer Engagement & Experience**
+ Translate customer challenges into industry-aligned solutions that demonstrate ROI.
+ Build trusted relationships with technical and business decision-makers, including C-level stakeholders.
+ Act as the voice of the customer, sharing insights to influence product development and improve customer experience.
+ Lead resolution strategies for customer dissatisfaction and drive transformation acceleration.
**Partner Collaboration**
+ Identify strategic partner opportunities and support technical pre-sales efforts.
+ Lead initiatives to develop scalable partner offerings and influence adoption of new technologies.
+ Maintain visibility in solution-specific communities and collaborate with internal stakeholders to share field insights.
**Technical Leadership**
+ Identify gaps and drive improvements in products, processes, and methodologies.
+ Provide thought leadership and contribute to scalable IP and frameworks.
+ Mentor peers and lead upskilling initiatives aligned with solution area and corporate priorities.
+ Represent Microsoft in internal and external technical forums, contributing to community engagement and brand elevation.
**Qualifications**
+ Candidates with prior technical consulting experience in Databricks, Microsoft Fabric, Purview, or equivalent data warehousing technologies are highly preferred.
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience.
+ 6+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 6+ years experience working on technical projects.
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
We are looking for an experienced individual to join our team as a **Sr Cloud and AI Solution Architect (CSA)** , specializing in **Azure Data, Analytics & AI** technologies to accelerate our customers' transformation on **Microsoft Azure** . This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements. You will help our customers architect and deploy first class cloud infrastructure solutions in Azure and to be AI Ready by applying scalable best practices in the cloud leveraging principles from the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF).
Azure is the most comprehensive, innovative, and flexible cloud platform today providing you with the technical platform and opportunity to work with Australia's largest and most important public sector and commerical companies to drive customer cloud adoption for AI innovation and influence transformational customer change.
This role is flexible in that you can work up to 50% from home.
**Responsibilities**
**Customer & Business Impact**
+ Deliver value-based solutions aligned with Microsoft methodologies to support customer operational readiness and business goals.
+ Guide customers toward secure, resilient, AI-enabled, and optimised architectures to drive retention and expansion.
+ Collaborate with account teams to build consumption plans and provide feedback to improve delivery offerings.
+ Identify cross-solution opportunities and consult strategically to align technical solutions with customer outcomes.
**Customer Engagement & Experience**
+ Translate customer challenges into industry-aligned solutions that demonstrate ROI.
+ Build trusted relationships with technical and business decision-makers, including C-level stakeholders.
+ Act as the voice of the customer, sharing insights to influence product development and improve customer experience.
+ Lead resolution strategies for customer dissatisfaction and drive transformation acceleration.
**Partner Collaboration**
+ Identify strategic partner opportunities and support technical pre-sales efforts.
+ Lead initiatives to develop scalable partner offerings and influence adoption of new technologies.
+ Maintain visibility in solution-specific communities and collaborate with internal stakeholders to share field insights.
**Technical Leadership**
+ Identify gaps and drive improvements in products, processes, and methodologies.
+ Provide thought leadership and contribute to scalable IP and frameworks.
+ Mentor peers and lead upskilling initiatives aligned with solution area and corporate priorities.
+ Represent Microsoft in internal and external technical forums, contributing to community engagement and brand elevation.
**Qualifications**
+ Candidates with prior technical consulting experience in Databricks, Microsoft Fabric, Purview, or equivalent data warehousing technologies are highly preferred.
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience.
+ 6+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 6+ years experience working on technical projects.
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
4
Machine learning and artificial intelligence and environmental
4742 Nebo, Queensland
PhDFinder
Posted today
Job Viewed
Job Description
This position is no longer available.
University: Universitat Politècnica de Catalunya
Country: Spain
Deadline: Not specified
Fields: Computer Science, Data Science, Electrical Engineering, Environmental Science, Applied Mathematics
The SANS research group (Statistical Analysis of Networks and Systems) at the Universitat Politècnica de Catalunya (UPC) invites applications for a competitive 3-year PhD fellowship within the Computer Architecture PhD track. This opportunity is aimed at highly motivated candidates interested in developing advanced Machine Learning and Artificial Intelligence algorithms for the analysis of Internet of Things (IoT) data, with real-world applications in air pollution monitoring, climate change, digital twins, and related areas.
Successful candidates will have the opportunity to work with large-scale, real-world datasets collected from state-of-the-art IoT monitoring systems and participate in experimental deployments designed to maximize the societal and environmental impact of their research.
Requirements
– Demonstrated motivation to apply mathematical and computational methods to address real-world challenges
– Interest in data-driven research with significant environmental and societal implications
– Strong background in a relevant field (e.g., computer science, engineering, mathematics, environmental science)
– Excellent analytical and problem-solving skills
The position is based in Barcelona, Spain, and offers a pre-doctoral contract for three years.
For additional information, please visit: />
Also See
- Ireland – Fully Funded PhD in Environmental Economics at University of Galway
- MSc and PhD Opportunities in AI, Image Processing, and IoT at University of Manitoba
- Fully Funded PhD and MS Positions in Structural Health Monitoring at UTRGV
- Switzerland – PhD in Environmental Engineering at Eawag/ETH Zurich
- Fully Funded PhD Position in Edge AI and Sustainable Computing at University of Vienna
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Scientist, International Machine Learning
Melbourne, Victoria
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
* You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
* In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
* You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields
- Experience with programming languages such as Python, Java, C+- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience researching, developing and implementing deep learning algorithms
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
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6
Machine learning center
4742 Nebo, Queensland
PhDFinder
Posted today
Job Viewed
Job Description
This position is no longer available.
University: CISPA Helmholtz Center
Country: Germany
Deadline: September 10, 2025
The Rational Intelligence Lab at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany, invites applications for a postdoctoral position in Rational Machine Learning. This opportunity is open to researchers with a strong background in machine learning, statistics, economics, or related disciplines.
Requirements
– PhD in Computer Science, Statistics, Economics, Artificial Intelligence, Data Science, or a closely related field
– Interest and experience in areas such as causality, game theory, uncertainty quantification, large language models, generative AI, or recommender systems
– Demonstrated research excellence through publications or relevant projects
– Eligibility to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship
Successful Candidates Will
– Work in a vibrant, international AI research environment
– Collaborate with leading institutions, including MPI, DFKI, and ELLIS
– Engage in interdisciplinary research and contribute to the advancement of rational machine learning
Application Procedure
– For detailed eligibility and application guidelines, please refer to the Marie Skłodowska-Curie Postdoctoral Fellowship: />
– For more information about the research group, visit: />
– Interested candidates may contact for further inquiries.
Application Deadline: September 10, 2025
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
This advertiser has chosen not to accept applicants from your region.
7
Opportunities machine learning and biological data
4742 Nebo, Queensland
PhDFinder
Posted 27 days ago
Job Viewed
Job Description
This position is no longer available.
University: Johns Hopkins University
Country: United States
Deadline: Not specified
Fields: Computer Science, Data Science, Bioinformatics, Computational Biology, Statistics
The Chitra Lab at the Department of Computer Science, Johns Hopkins University, with affiliation to the Data Science and AI Institute, is seeking highly motivated students and researchers to join our team. Our lab focuses on developing advanced machine learning and statistical methods for the analysis and interpretation of high-dimensional and multi-modal biological data. We aim to address fundamental problems in biology through novel AI algorithms.
Research Areas Of Interest Include
– Single-cell and spatial multi-omics
– Genetic perturbations
– Biological network analysis
– Anomaly detection in biological datasets
We invite applications from individuals interested in pursuing positions as postdoctoral researchers, PhD students, Master’s students, or undergraduate researchers. Applicants should have a strong background or interest in computer science, data science, bioinformatics, computational biology, or statistics.
For more information and application details, please visit our website: />
For inquiries, contact Dr. Uthsav Chitra at:
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: />
- PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft
- Two Postdoctoral Positions in Biofabrication at the MERLN Institute, Maastricht University
- USA – Funded PhD & MS in Civil Engineering at Rochester Institute of Technology
- USA – Postdoctoral Research in Water Resources at University of Florida
- Europe – Postdoc in Mechanical Properties of Cemented Carbides at University of Luxembourg
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer, Generative AI Innovation Center
Melbourne, Victoria
Amazon
Posted today
Job Viewed
Job Description
Description
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.
Key job responsibilities
- Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
- LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
- Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
- Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
What if I don't meet all the requirements?
That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of Industry (non-internship) design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
- Hands-on experience with generative AI technology
Preferred Qualifications
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.
Key job responsibilities
- Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
- LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
- Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
- Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
A day in the life
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
What if I don't meet all the requirements?
That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of Industry (non-internship) design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
- Hands-on experience with generative AI technology
Preferred Qualifications
- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
9