Source description
About the role
Data Scientist w Generative AI (with AI , ML, and LLM – not ML Ops )
Location is Seattle, WA – M-F onsite (as well as final in-person interview – no exceptions)
Start is immediate
Duration is twelve months, will extend
This is a backfill role. Personality, personality, personality – must be amazing.
Please don't submit dry people or indifferent people. We need excited, enthusiastic, go getters! (you'll be wasting everyone's time – more to the point: don't waste my time)
Will be:
One tech round (including 45-60 minute GenAI coding challenge) - teams
One round with the account manager – team – 5-10 mins – culture fit
One round with client – teams – culture fit
Final meet and greet (not technically an interview) w the buyer – onsite, no exceptions
Build and deploy Generative AI solutions using Amazon Bedrock, SageMaker, and other AWS AI/ML services.
Evaluate and integrate foundation models (Claude, Titan, Mistral, LLaMA, etc.) available in Bedrock for enterprise use cases (chatbots, summarization, RAG, etc.).
Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
Work on GenAI pipelines: data preprocessing, prompt tuning, retrieval augmentation (RAG), and model evaluation.
Optimize cost and performance of GenAI workloads in the AWS ecosystem.
Collaborate with product and data teams to design AI-driven applications
More at 3B Staffing