{"schemaVersion":"jobsearcher.job.v1","id":"4e7ead916fe2178a22e43a74","url":"https://jobsearcher.com/jobs/4e7ead916fe2178a22e43a74","canonicalUrl":"https://jobsearcher.com/jobs/4e7ead916fe2178a22e43a74","title":"Lead Machine Learning / Data Science Engineer","description":"Overview\nCapTech seeks a Lead Machine Learning Engineer to architect and deliver enterprise-scale, data-driven ML solutions. You will lead cross-functional teams, translate client needs into ML models, and productionize scalable systems on cloud platforms. The role blends technical leadership with business development to grow CapTech’s ML/DS practices. You’ll work with clients across industries to drive measurable impact through advanced analytics and AI.\n\nCompensation / BenefitsLearning & Development – certification and tuition supportFlexible work environmentHealth coverage401(k) MatchingPaid time offFringe – lifestyle benefits stipend\nResponsibilitiesStrategize with cross-functional teams to implement end-to-end ML solutionsProvide technical leadership and ensure alignment with customer needsConvert client requirements into data-driven processes and analytical measuresAnalyze and transform large datasets on enterprise platforms (AWS, Azure, GCP)Design, develop, and deploy advanced analytical solutions (recommender systems, NLP, risk scoring)Productionize ML systems focusing on optimization and scalabilityGrow ML/DS practices through client interactions, proposals, and leading junior teams\nKey requirements7+ years delivering data engineering and ML solutions on cloud platformsBachelor's degree or equivalent combination of education and experienceExperience providing technical leadership and mentoring engineers in data engineeringHands-on experience with large multi-billion-record datasetsProficiency in Python, Scala, or similar languagesProficiency with SQL, Spark, NoSQL, and cloud data processing frameworks in productionExperience with Docker and microservicesExperience with Snowflake, Databricks, Azure SQL, Amazon RDSExperience building production-scale ML systems (personalization, NLP, CV)Knowledge of DevOps, statistics, model management/versioningExperience with LLMs in production, prompt engineering, MCP, RAG, agentic AI architecturesExperience with LangChain, n8n, pydantic, multi-agent orchestrationCollaborative mindset with cross-functional teamsTechnical leadership and mentoringExcellent communication and client-facing presentationPythonScalaSQL","company":"Captech","rawCompany":"captech","city":"Oak Park","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:56:12.352Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Machine Learning / Data Science Engineer","description":"Overview\nCapTech seeks a Lead Machine Learning Engineer to architect and deliver enterprise-scale, data-driven ML solutions. You will lead cross-functional teams, translate client needs into ML models, and productionize scalable systems on cloud platforms. The role blends technical leadership with business development to grow CapTech’s ML/DS practices. You’ll work with clients across industries to drive measurable impact through advanced analytics and AI.\n\nCompensation / BenefitsLearning & Development – certification and tuition supportFlexible work environmentHealth coverage401(k) MatchingPaid time offFringe – lifestyle benefits stipend\nResponsibilitiesStrategize with cross-functional teams to implement end-to-end ML solutionsProvide technical leadership and ensure alignment with customer needsConvert client requirements into data-driven processes and analytical measuresAnalyze and transform large datasets on enterprise platforms (AWS, Azure, GCP)Design, develop, and deploy advanced analytical solutions (recommender systems, NLP, risk scoring)Productionize ML systems focusing on optimization and scalabilityGrow ML/DS practices through client interactions, proposals, and leading junior teams\nKey requirements7+ years delivering data engineering and ML solutions on cloud platformsBachelor's degree or equivalent combination of education and experienceExperience providing technical leadership and mentoring engineers in data engineeringHands-on experience with large multi-billion-record datasetsProficiency in Python, Scala, or similar languagesProficiency with SQL, Spark, NoSQL, and cloud data processing frameworks in productionExperience with Docker and microservicesExperience with Snowflake, Databricks, Azure SQL, Amazon RDSExperience building production-scale ML systems (personalization, NLP, CV)Knowledge of DevOps, statistics, model management/versioningExperience with LLMs in production, prompt engineering, MCP, RAG, agentic AI architecturesExperience with LangChain, n8n, pydantic, multi-agent orchestrationCollaborative mindset with cross-functional teamsTechnical leadership and mentoringExcellent communication and client-facing presentationPythonScalaSQL","datePosted":"2026-09-15T03:56:12.352Z","dateModified":"2026-09-15T03:56:12.352Z","hiringOrganization":{"@type":"Organization","name":"Captech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oak Park","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e7ead916fe2178a22e43a74"},"url":"https://jobsearcher.com/jobs/4e7ead916fe2178a22e43a74"}}