Machine Learning / Data Science Engineer

Overview In this role you design and deliver data-driven ML solutions for enterprise clients, shaping scalable systems and contributing to CapTech’s growing ML & Data Science practice. You collaborate across client teams and CapTech experts to translate needs into actionable data models and production-ready implementations. You’ll work with leading cloud platforms and ML techniques to drive measurable business impact. This is a hands-on, client-facing engineering position with opportunities to lead and mentor others. Compensation / Benefitsflexible work environmentlearning & development programshealth coverage401(k) matchingpaid family leaveFringe lifestyle stipend ResponsibilitiesCollaborate with clients and cross-functional teams to implement end-to-end ML solutions and explore new ML approachesTranslate client needs into data-driven processes and analytical measuresAnalyze and transform large datasets on enterprise data platforms (AWS, Azure, GCP)Design, develop, and deploy advanced analytical solutions (e.g., recommender systems, NLP, risk scoring)Productionize ML systems focusing on optimization and scalability to meet client requirementsGrow the ML & DS practice through client presentations, proposals, events, and leading junior data scientists and engineers Key requirementsBachelor's degree or equivalentHands-on experience with large datasets (multi-billion records)Proficiency in Python, Scala, or similar languagesProficiency with SQL, Spark, NoSQL, and cloud data processing frameworksExperience with Docker and microservicesExperience with Snowflake, Databricks, Azure SQL, Amazon RDSAbility to frame data-driven problems from cross-industry requirementsExperience deploying production-scale ML systems in domains like personalization, NLP, or computer visionKnowledge of DevOps, statistics, modeling, and model management/versioningExperience with LLMs in production, prompt engineering, MCP and RAG, agentic AI architecturesUnderstanding of conversational UX and prompt evaluation metricsExperience with multi-agent orchestration (e.g., LangChain, n8n, pydantic)Collaborative and team-orientedStrong client-facing communicationProblem-solving mindsetPythonScalaSQL