Databricks Data Scientist
Harnham, the leading recruitment specialist in Data and AI, is partnering with a Databricks consulting organisation delivering enterprise‑scale GenAI solutions. They are hiring experienced Forward Deployed Engineers to build and deploy production‑ready AI systems for end clients.
- Role: Databricks Data Scientist
- Location: Remote
- Pay: $90 - $110 per hour W2 (or via your own LLC)
- Length: 12 month contract (extendable)
- Utilization: 40 hours/week
The Role
As a Databricks Data Scientist, you will deliver end‑to‑end GenAI solutions directly to enterprise clients. This is a highly hands‑on, delivery‑focused role, not traditional data science, focused on building, deploying, and scaling LLM and RAG applications on the Databricks platform.
You’ll work in a client‑facing capacity, owning projects from initial scoping through to production deployment.
Key Responsibilities
- Deliver E2E GenAI solutions on Databricks
- Build RAG and LLM‑based applications using enterprise data
- Implement vector search and agentic workflows (LangChain, etc.)
- Productionise AI systems using CI/CD, MLOps, and cloud pipelines
- Work directly with clients to deploy and optimise AI solutions
Requirements
- 5+ years in Data Science working across multiple model stacks and ML models
- Strong hands‑on expertise with Databricks (Spark, MLflow, Unity Catalog, Agent Bricks, MosaicAI)
- Proficiency in Python and tools such as LangChain, OpenAI, Hugging Face
- Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
- Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
- Strong cloud and CI/CD experience (AWS, Azure, or GCP)
- Excellent communication skills for client‑facing delivery
- Databricks certifications (ML Engineer, GenAI, Data Engineer)
Next Steps
If you are interested in this opportunity, please apply below