Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Job ID: AWS EMEA SARL (UK Branch)

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

• Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting edge generative AI algorithms to address real world challenges.
• Interact with customers directly to understand the business problem, guide implementation of generative AI solutions, deliver briefing and deep dive sessions, and advise on adoption patterns and paths to production.
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.

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.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, 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.

• 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, high performance computing.
• Experience delivering customer engagements in a professional services role.
• Experience researching machine learning, deep learning, NLP, computer vision, data science.
• Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience.

• Master's or PhD in computer science, engineering, mathematics, operations research, or 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 LLM powered agents and tools and orchestration approaches.
• Experience optimizing prompts and templates that guide the behavior and responses of LLMs.
• Experience with open source frameworks for building LLM powered applications like LangChain, LlamaIndex, or similar tools.

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