Lead Machine Learning / Data Science Engineer

Overview In this role you will design and deploy data-driven, scalable ML solutions for enterprise clients. You will lead cross-functional collaboration with data scientists, engineers, and clients to translate needs into analytic models and production-ready systems. Your work will focus on delivering end-to-end ML capabilities on cloud platforms and shaping CapTech's ML/Datascience practice. This is an opportunity to impact client outcomes at scale while advancing CapTech's technology-led consulting mission. You will partner with clients and internal teams to drive innovation and measurable results. Compensation / Benefitsflexible work environmentgenerous PTOhealth coveragedisability insurancepaid family leave401(k) matching ResponsibilitiesLead end-to-end ML solutions by collaborating with clients and cross-functional teamsDecompose client needs into data-driven processes and analytical measuresAnalyze and transform large enterprise datasets on cloud platforms (AWS, Azure, GCP)Design, develop, and deploy analytical solutions (e.g., recommender systems, NLP, risk scoring)Productionize ML systems with optimization and scalability in mindGrow ML/Data Science practices through client presentations, proposals, and leading junior teams Key requirements7+ years delivering data engineering and ML solutions on cloud platformsBachelor's degree or equivalentExperience providing technical leadership and mentoring engineersHands-on with large-scale data (multi-billion records)Proficiency in Python, Scala or similar; SQL, Spark, NoSQL; cloud data processingContainerization and microservices (e.g., Docker)Experience with Snowflake, Databricks, Azure SQL, Amazon RDSExperience with production-scale ML in domains like personalization, NLP, or computer visionKnowledge of DevOps, automation, statistics, model management/versioningExperience with LLMs in production and prompt engineering; MCP and RAG; agentic AI architecturesExperience with LangChain, n8n, pydantic; multi-agent orchestrationcollaborationstrong communicationproblem solvingPythonScalaSQL