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
Builds
Production-scale ML systems, advanced analytical solutions, and agentic AI architectures for enterprise clients.
Domain
Enterprise consulting, cloud data platforms, and AI/ML
Deliverable
production ML models | product features
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, agentic frameworks in practice
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; analyze and transform large datasets; design and deploy advanced analytical solutions; productionize ML systems with focus on optimization and scalability; grow ML practices through business development and team leadership.
Seniority
Senior, hands-on IC with leadership responsibilities