Senior Data Scientist, AWS Gen AI Innovation Center

Senior Data Scientist, AWS Gen AI Innovation Center

Job ID: 2921678 | Amazon Web Services Colombia S.A.S.

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.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, 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 Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI solutions to address real-world challenges.
2. 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.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
4. Provide 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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.