386 AI Innovation jobs in Singapore

AI Innovation Lead

Singapore, Singapore beBeeArtificial

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Job Description

Highly skilled AI professional with expertise in designing and developing functional AI/ML prototypes that demonstrate business value and are engineered for production.

Proven experience in client-facing or consulting capacity, identifying and engaging high-value business opportunities and potential clients who can benefit from advanced AI and ML solutions.

Expert proficiency in Python and extensive experience with core AI/ML libraries, including Scikit-learn, TensorFlow, PyTorch.

Demonstrated hands-on experience with generative AI and large language models, including frameworks like LangChain, for designing and prototyping novel applications.

Strong practical experience with Google Cloud Platform services relevant to AI/ML, including Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions.

Proficiency with Docker for containerization and a foundational understanding of container orchestration, including Kubernetes concepts for GKE.

Solid understanding of MLOps principles for reproducibility, experiment tracking, model versioning, and data governance frameworks.

High-level expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.

A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.

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AI Innovation Specialist

Singapore, Singapore beBeeData

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Transforming the Future through AI Innovation

At Temus, our mission is to harness disruptive innovation and unlock economic and social value enabled by technology.

We're seeking an AI/ML Engineer to join our world-class AI team. In this role, you'll leverage your expertise in AI engineering, delivery, and governance to drive impactful solutions for clients and citizens.

  • Apply your knowledge of NLP, computer vision, recommendation systems, reinforcement learning, and time series forecasting to drive transformative change.
  • Develop strong relationships with colleagues and partners across various contexts and formats.
  • Invest in continuous professional development and stay up-to-date with the latest advancements in AI, data science, and software engineering.

As a key member of our AI team, you'll have opportunities to work on cutting-edge projects and collaborate with experts from diverse backgrounds.

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AI Innovation Solutions Architect

Singapore, Singapore beBeeSoftware

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Transforming AI innovation requires robust and scalable web applications.

Collaborate with our team to deliver high-quality solutions that enable developers to focus on innovation.

  • Design and develop 0-to-1 applications for automation, performance, scalability, and cost efficiency.
  • Participate in all aspects of software development, from design to deployment.
  • Build and integrate APIs to support dynamic web and cloud applications.
  • Develop scalable backend services and databases to enhance application performance.
  • Ensure responsive design and seamless user experience.

Bachelor's degree in Computer Science, Engineering, or related field required.

At least 3 years of experience as a Software Engineer or similar role.

Experience in building web applications, designing RESTful APIs, and Agile practices.

Knowledge of containerization, orchestration technologies, and CI/CD pipelines.

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Chief AI Innovation Leader

Singapore, Singapore beBeeArtificialIntelligence

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Job Description

AI Engineering Leadership Role

This leadership position focuses on driving the development and implementation of cutting-edge AI solutions to deliver impactful business value.

  • Mentor and lead a team of expert AI engineers in solving complex problems.
  • Develop innovative AI products and services that drive growth and customer satisfaction.

A successful candidate will have:

Essential Skills and Qualifications
  • A strong educational background in STEM fields, with expertise in AI engineering, machine learning, and data science.
  • At least 5 years of experience delivering and managing AI solutions from incubation to deployment.
  • Familiarity with NLP, computer vision, classification systems, reinforcement learning, and time series concepts.
  • Experience in model deployment, canary releases, and cloud infrastructure management.
  • Strong understanding of CI/CD, containerization, and infrastructure-as-code principles.
Benefits
  • Opportunity to work on challenging AI projects and contribute to innovation.
  • Collaborative work environment with experienced professionals.
  • Ongoing training and professional development opportunities.
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Machine Learning Engineer, Generative AI Innovation Center

Singapore, Singapore Amazon

Posted 6 days ago

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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
About the team
Diverse Experiences
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) and AmazeCon (diversity) 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.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of 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
- 3+ 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
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.
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Machine Learning Engineer, Generative AI Innovation Center

Singapore, Singapore Amazon Web Services (AWS)

Posted today

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Job Description

Machine Learning Engineer, Generative AI Innovation Center
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
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) and AmazeCon (diversity) 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.
Basic Qualifications
3+ years of non-internship professional software development experience
2+ years of 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
3+ 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
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.
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Assistant Vice President, AI Innovation

$150000 - $250000 Y Singapore Post Limited

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Job Description

This role will be responsible for driving AI-led innovation to transform how the organisation delivers value — across operations, customer experience, and workforce efficiency. Key responsibilities include identifying, designing, and scaling AI use cases, in close collaboration with business and technical teams.

A strong emphasis will be placed on leveraging AI technologies to solve business challenges. The role is pivotal in aligning AI initiatives with business strategy and identifying high-value opportunities.

Develop and Drive AI Strategy

  • Define and continuously refine the AI strategy to align with broader business objectives
  • Prioritise initiatives based on impact, feasibility, and strategic value, ensuring AI investments are targeted and effective.

Drive AI-Led Innovation

  • Identify, assess, and prioritise AI use cases that address core business challenges.
  • Lead the implementation of AI solutions to enhance efficiency, reduce costs, and unlock new value.

Translate Business Needs into AI Solutions

  • Work with stakeholders to frame problems, define success metrics, and ensure AI initiatives are aligned with overall business goals
  • Serve as the bridge between business and technical teams to ensure practical, scalable solutions.

Accelerate AI Deployment and Value Realisation

  • Lead rapid prototyping and pilot programs to validate high-potential AI applications.
  • Oversee rollout of successful pilots, ensuring measurable impact and cross-functional coordination.

Enable Change and Adoption

  • Drive change management efforts to support the transition to AI-enabled workflows.
  • Address adoption barriers, facilitate training and communication, and ensure employee engagement.
  • Foster curiosity, experimentation, and openness to AI-driven ways of working across teams
  • Champion internal knowledge sharing, idea generation, and innovation showcases to build AI fluency across the organisation.

Requirement

  • Bachelor's degree in Data Science, Computer Science, Engineering, or a related field
  • 5–8 years' experience in data analytics or machine learning roles, ideally within logistics, supply chain, or operations.
  • Demonstrated success using GCP tools including BigQuery, for predictive modeling and data pipeline orchestration.
  • Experience managing projects that bridge analytics with strategic decision-making across business units
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(Senior) DevOps Engineer- AI Innovation

Singapore, Singapore Medium

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Job Description

full-time

Overview
We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure.
Responsibilities
Contribute to system architecture design
Improve and manage Terraform, K8S, logging and CI/CD pipeline
Develop tools for application and performance monitoring
Develop and deploy cloud infrastructure in IaC manner
Design and implement auto scaling, disaster recovery & backup solution
Design and build the data engineering, data warehousing and machine learning platform
Automate and streamline operations and processes
Communicate, escalate and follow up as appropriate to ensure that problems are solved
Continuously improve availability, reliability, and observability and cost-effectiveness
Personal Attributes
Desire to grow expertise, inform, and educate others
Curiosity about finding root causes demonstrating troubleshooting skills
Capable to pick up various technologies, a fast learner and have a “get things done” mentality
Humble to embrace better ideas from others, eager to make things better, open to challenges and possibilities
Requirements
Experience coding in Python, Nodejs, shell scripting
Experience in one or more of the public cloud: AWS, Azure, GCP
Experience in designing resilient system architecture
Experience in managing server infrastructure and Kubernetes clusters
Experience in building CICD pipelines of a large scale enterprise application
Experience in SageMaker, Databricks, MLFlow, MLOps will be a plus
Familiar with GitOps principles and CI/CD tools (Github Actions, ArgoCD, Tekton)
Familiar with containerisation and orchestration tools (Docker, Kubernetes, Helm)
Familiar with IaC tools (Terraform, Ansible)
Familiar with monitoring tools (Cloudwatch, Grafana, Prometheus, ELK, and/or OpenTelemetry)
Familiar with Cloud/Linux networkings, DNS, Common tweaks/command lines for linux
Familiar with Next.js/Nest.js, Flask/FastAPI, Stable Diffusion/ComfyUI will be a plus
Life @ Crypto.com
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions.
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us - our internal mobility program offers employees a new scope.
Work Perks: crypto.com visa card provided upon joining
Are you ready to kickstart your future with us?
Benefits
Competitive salary
Attractive annual leave entitlement including: birthday, work anniversary
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
Work Perks: crypto.com visa card provided upon joining
Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
About Crypto.com
Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every WalletTM. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
Learn more at
Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.
Personal data provided by applicants will be used for recruitment purposes only.
Please note that only shortlisted candidates will be contacted.
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(Senior) DevOps Engineer- AI Innovation

Singapore, Singapore Crypto.com

Posted today

Job Viewed

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Job Description

full-time

We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure.
Responsibilities
Contribute to system architecture design
Improve and manage Terraform, Kubernetes, logging and CI/CD pipeline
Develop tools for application and performance monitoring
Develop and deploy cloud infrastructure in IaC manner
Design and implement auto scaling, disaster recovery & backup solution
Design and build the data engineering, data warehousing and machine learning platform
Automate and streamline operations and processes
Communicate, escalate and follow up as appropriate to ensure that problems are solved
Continuously improve availability, reliability, observability and cost-effectiveness
Personal Attributes
Desire to grow expertise, inform, and educate others
Curiosity about finding root causes demonstrating troubleshooting skills
Capable to pick up various technologies, a fast learner and have a “get things done” mentality
Humble to embrace better ideas from others, eager to make things better, open to challenges and possibilities
Requirement
Experience coding in Python, Node.js, shell scripting
Experience in one or more of the public cloud: AWS, Azure, GCP
Experience in designing resilient system architecture
Experience in managing server infrastructure and Kubernetes clusters
Experience in building CI/CD pipelines of a large scale enterprise application
Experience in SageMaker, Databricks, MLFlow, MLOps will be a plus
Familiar with GitOps principles and CI/CD tools (Github Actions, ArgoCD, Tekton)
Familiar with containerisation and orchestration tools (Docker, Kubernetes, Helm)
Familiar with IaC tools (Terraform, Ansible)
Familiar with monitoring tools (Cloudwatch, Grafana, Prometheus, ELK, and/or OpenTelemetry)
Familiar with Cloud/Linux networking, DNS, common tweaks/command lines for Linux
Familiar with Next.js/Nest.js, Flask/FastAPI; Stable Diffusion/ComfyUI will be a plus
Life @ Crypto.com
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions.
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us - our internal mobility program offers employees a new scope.
Work Perks: crypto.com visa card provided upon joining
Benefits
Competitive salary
Attractive annual leave entitlement including: birthday, work anniversary
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
Work Perks: crypto.com visa card provided upon joining
Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
About Crypto.com
Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every WalletTM. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
Learn more at
Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.
Personal data provided by applicants will be used for recruitment purposes only.
Please note that only shortlisted candidates will be contacted.
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Engineering and Information Technology
Referrals increase your chances of interviewing at Crypto.com by 2x
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Applied Scientist, Generative AI Innovation Center

Singapore, Singapore Amazon

Posted 6 days ago

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Job Description

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
As an Applied Scientist, you will
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
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) and AmazeCon (diversity) 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.
Basic Qualifications
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master's degree plus 5 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred Qualifications
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
- Track record of building and deploying ML models at scale
- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
- Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
- Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
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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