Senior Data Scientist, AWS Gen AI Innovation Center
We are seeking a highly skilled Senior Data Scientist to join our team at the forefront of Machine Learning and AI. You will work directly with customers to design and implement state-of-the-art solutions for never-before-solved problems using Generative AI and other techniques.
The Generative AI Innovation Center 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.
Your key responsibilities will include:
* Collaborating with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI solutions to address real-world challenges.
* Interacting 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.
* Creating and delivering best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Providing customer and market feedback to product and engineering teams to help define product direction.
BASIC QUALIFICATIONS
- Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
- 2+ years of hands-on experience with generative AI technology
- 5+ 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, neural deep learning methods and/or machine learning
- 5+ years of hands-on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
PREFERRED QUALIFICATIONS
- Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
- Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools
- Hands-on experience building cloud applications