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Lead Data Science Engineer

5 Locations💼 Full-time💰 $121,200–$121,200🗓 2026-06-30 → 2026-07-31

Core

Engineering AI capabilities for the Intelligent Delivery Platform, focusing on data pipelines, model deployment, and Gen AI operations.

Role type

Lead Data Science Engineer (AI/ML Ops)

Builds

AI agents, RAG systems, and production ML models for healthcare delivery

Domain

Healthcare technology and Generative AI

Deliverable

production ML models

Required skills

Python, data pipelining and ETL, distributed computing, prompt engineering, model evaluation and deployment, data curation and fine-tuning, MLOps practices

Preferred skills

PySpark, Databricks, Azure Cloud Infrastructure, Azure ML, knowledge graph databases, Small Language Models

Technologies

LangChain, LangGraph, LangFuse, Neo4J, Azure OpenAI

Responsibilities

Ensure data quality and create new data pipelines; optimize and manage existing data pipelines; ingest and curate data sources for Gen AI; manage and monitor AI models through MLOps tools; deliver AI Agent solutions; perform prompt engineering and configure AI-specific tools.

Seniority

Lead, hands-on IC with team leadership

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