AWS customers need to implement Generative AI solutions and realize transformational business opportunities. The Generative AI Innovation Center is launching a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions, imagine and scope bespoke use cases, define paths to navigate technical or business challenges, develop and optimize models, and plan for launching solutions at scale.
Requirements
- 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
- 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.)
Responsibilities
- 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
- design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience
- design, evangelize, and implement state-of-the-art solutions for never-before-solved problems
Other
- 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
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
- 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
