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 IC Machine Learning Engineer (Consulting)
Builds
Production 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/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 (GPT/Claude/Mistral), 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.
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 of junior data scientists and engineers; delivering client presentations and proposals.
Seniority
Senior, hands-on IC with leadership responsibilities.