Senior Staff Engineer (Data Scientist)
London (Hybrid), United Kingdom
Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Must have Skills : Generative AI Fundamentals (Strong), Python for Data Science (Strong), Data science on AWS (Strong), Vector Illustration
Key Responsibilities:
- An ideal candidate has extensive hands-on python experience with a heavy focus and curiosity in GenAI over the last 2 years.
- 6+ Years experience building RESTful APIs on Python, with SDKs like FastAPI (ideal), Flask, etc.
- Experience scaling GenAI solutions to thousands of users in production is ideal
- Experience with RAG, understands of decisions made for the chunking strategy
- Experience with cloud deployments of services (lambda, ecs, or eks) related to GenAI solutions
- Understanding of, ideally experience with, unstructured.io, llama index, langchain, and other mainstream RAG components
- Understanding of knowledge graphs and graph RAG, and how to leverage LLMs to create and manage
- Understanding of retrieval mechanisms like vector dbs and search
- Understanding of agentic workflows
- Consistently curious about the GenAI space, experimenting and exploring.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS ECS Engineering FastAPI Flask Generative AI Lambda LangChain LLaMA LLMs Python RAG
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