AWS EMEA SARL (UK Branch)
Technology
SeniorDataScientist,ModelCustomization
“Senior Data Scientist, Model Customization at AWS EMEA SARL (UK Branch). Skills: Generative AI, Machine Learning, Model Customization. Collaborate with AI/ML scientists and architects to research,. Interact with customers directly to understand their business”
Industry & Context.
Solve real world problems; Navigate technical or business challenges; Optimize risk, profitability, and customer experience
What They're Looking For.
Must Have
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 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
Nice to Have
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
What You'll Do.
Collaborate with AI/ML scientists and architects to research
Interact with customers directly to understand their business
Aid customers in implementation of generative AI solutions
Brief customers on adoption patterns and paths to
Create and deliver best practice recommendations
Create presentations adapted to technical
Provide customer and market feedback to product and
Design and run experiments
Research new algorithms
Find new ways of optimizing risk
Design generative AI solutions
Evangelize generative AI solutions
Implement state-of-the-art solutions
How You'll Work.
Team & Collaboration
AI/ML scientists; Architects; Product teams; Engineering teams
Communication Scope
Customer presentations; Executive presentations
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