Machine Learning / Data Science Engineer
Core
Designing and implementing end-to-end data-driven machine learning solutions for enterprise clients, focusing on scalable system deployment and productionization.
Role type
Senior Machine Learning Engineer (Consulting)
Builds
Scalable ML systems, recommender systems, NLP models, risk scoring models, and agentic AI architectures for Fortune 100 and government clients.
Domain
Enterprise consulting, data science, artificial intelligence
Deliverable
production ML models
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 AI in practice
Responsibilities
Strategizing with clients and cross-functional teams to implement 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 ML practices through business development.
Seniority
Senior, hands-on IC with leadership responsibilities