Job Description
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).
