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
Senior Machine Learning Engineer (Production & Strategy)
Builds
Production-scale ML systems, agentic AI architectures, and data-driven analytical solutions for Fortune 100 and government clients.
Domain
Enterprise consulting, cloud data platforms, and advanced AI (LLMs, agentic frameworks).
Deliverable
production ML models
Required skills
Python, Scala, SQL, Spark, NoSQL, Docker, microservices, Snowflake, Databricks, AWS/Azure/GCP, statistics, statistical modeling, model versioning, prompt engineering, RAG, agentic AI architectures, multi-agent orchestration, LLM integration.
Preferred skills
Experience with conversational UX, prompt evaluation metrics, LangChain, n8n, Pydantic.
Technologies
Python, Scala, SQL, Spark, NoSQL, Docker, Snowflake, Databricks, AWS, Azure, GCP, LangChain, n8n, Pydantic.
Responsibilities
Strategizing with clients and cross-functional teams to implement end-to-end ML solutions; deconstructing client needs into data-driven processes; analyzing and transforming large datasets; designing and deploying advanced analytical solutions; productionizing ML systems with optimization and scalability; leading teams and growing the ML practice through business development.
Seniority
Senior, hands-on IC with leadership responsibilities