TL;DR

Senior Data Scientist (Generative AI): Researching, designing, and developing cutting-edge generative AI algorithms to solve real-world problems with an accent on customer collaboration and solution implementation. Focus on designing, evangelizing, and implementing state-of-the-art Generative AI solutions for novel challenges.

Location: AWS EMEA SARL (UK Branch)

Company

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, trusted by successful startups to Global 500 companies.

What you will do

Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms.
Interact directly with customers to understand business problems and aid in implementing generative AI solutions.
Deliver briefings and deep dive sessions to customers, guiding them on adoption patterns and paths to production.
Create and deliver best practice recommendations, tutorials, blog posts, and sample code.
Provide customer and market feedback to Product and Engineering teams to help define product direction.
Design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Requirements

Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Experience in delivering customer engagements in a professional services role.
Experience researching machine learning, deep learning, NLP, computer vision, or data science.
Bachelor's degree with 8 years of experience or Master's degree with 4 years of experience.

Nice to have

Masters or PhD degree in computer science, engineering, mathematics, operations research, or a highly quantitative field.
Experience building generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker.
Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools.
Experience with design, development, and optimization of high-quality prompts and templates for LLMs.
Experience with open source frameworks for building LLM applications like LangChain or LlamaIndex.

Culture & Benefits

Access to endless knowledge-sharing, mentorship, and career-advancing resources.
Inclusive team culture fostered by employee-led affinity groups.
Emphasis on work-life harmony and flexibility in working culture.