Generative AI Data Scientist - Contract

We're hiring a Generative AI Data Scientist to lead the development and deployment of cutting-edge

LLM-powered solutions for our client. You'll work hands-on with AWS-native services, Python-based ML

pipelines, and containerized workflows to deliver scalable, production-grade GenAI applications.

Responsibilities:

Design, fine-tune, and deploy LLMs for real-world use cases (e.g., summarization, Q&A,

personalization).

Build and optimize data pipelines using AWS services (S3, Lambda, SageMaker, Bedrock, etc.).

Develop Python-based ML workflows integrating structured and unstructured data.

Containerize and orchestrate GenAI solutions using Docker.

Collaborate with product and engineering teams to translate business needs into GenAI capabilities.

Required Skills:

2+ years in data science or ML engineering, with hands-on GenAI experience.

Strong Python and SQL skills for data wrangling and model integration.

Deep familiarity with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).

Experience with AWS cloud-native ML stack and deployment workflows.

Proficiency in Docker for containerization and scalable deployment.

Ability to work independently and deliver production-ready solutions quickly.

Bonus Skills:

Experience with CI/CD, MLOps, or vector databases (e.g., FAISS, Pinecone).