Lead Machine Learning / Data Science Engineer
Core
Designing and implementing end-to-end machine learning solutions for enterprise clients, focusing on productionizing scalable systems and agentic AI architectures.
Role type
Lead Machine Learning / Data Science Engineer (Senior IC with team leadership)
Builds
Production-scale ML systems, agentic AI frameworks, and data-driven analytical solutions for Fortune 100 and government clients.
Domain
Enterprise consulting, cloud data platforms, and advanced AI/LLM applications.
Deliverable
production ML models | product features | client delivery
Required skills
Python, Scala, SQL, Spark, NoSQL, Docker, microservices, Snowflake, Databricks, AWS/Azure/GCP, LLMs, prompt engineering, RAG, agentic AI frameworks, multi-agent orchestration, statistics, statistical modeling, model versioning.
Preferred skills
Experience with conversational UX, prompt evaluation metrics, and cross-industry business requirements.
Technologies
Python, Scala, SQL, Spark, NoSQL, Docker, Snowflake, Databricks, AWS, Azure, GCP, LangChain, n8n, Pydantic.
Responsibilities
Strategize with clients and cross-functional teams to implement end-to-end ML solutions; provide technical leadership and mentor junior engineers; deconstruct client needs into data-driven processes and models; analyze and transform large datasets on enterprise platforms; design and deploy advanced analytical solutions (recommender systems, NLP, risk scoring); productionize ML systems with a focus on optimization and scalability; grow the ML practice through client presentations, proposals, and business development events.
Seniority
Senior, hands-on IC with team leadership
