Lead Machine Learning / Data Science Engineer
Core
Designing and implementing scalable machine learning systems and data-driven solutions for enterprise clients, focusing on productionizing models like recommender systems, NLP, and risk scoring.
Role type
Lead Machine Learning / Data Science Engineer (Senior IC with team leadership)
Builds
Production-scale ML systems, agentic AI architectures, and data processing pipelines 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 (LangChain, n8n, Pydantic), multi-agent orchestration, statistics, statistical modeling, model versioning
Preferred skills
Experience with conversational UX, prompt evaluation metrics, cross-industry business requirements
Technologies
Python, Scala, SQL, Spark, NoSQL, Docker, Snowflake, Databricks, Azure SQL, Amazon RDS, LangChain, n8n, Pydantic, GPT, Claude, Mistral
Responsibilities
Strategizing with clients and cross-functional teams to implement end-to-end ML solutions; providing technical leadership and mentoring junior engineers; deconstructing client needs into data-driven processes; analyzing and transforming large datasets; designing and deploying advanced analytical solutions; productionizing ML systems for optimization and scalability; growing the practice through business development and team leadership
Seniority
Senior, hands-on IC with team leadership