{"schemaVersion":"jobsearcher.job.v1","id":"22a438a9fb91a7a0565f72a7","url":"https://jobsearcher.com/jobs/22a438a9fb91a7a0565f72a7","canonicalUrl":"https://jobsearcher.com/jobs/22a438a9fb91a7a0565f72a7","title":"Machine Learning / Data Science Engineer","description":"Overview\nCapTech seeks a Machine Learning Engineer to design and deploy scalable ML solutions for enterprise clients. You will work with cross-functional teams to translate needs into data-driven models and production-ready systems. The role involves modern ML techniques, data platform work, and client-facing delivery to grow CapTech’s ML and DS practices. This is a hands-on, collaboration-driven role at a firm that values relationships, learning, and impact.\n\nCompensation / BenefitsLearning & Development – certification and tuition supportModern Health – mental health and well-being platformCarrot Fertility – fertility and family-forming coverageFringe – lifestyle benefits stipend401(k) matchingflexible work environment and remote options\nResponsibilitiesCollaborate with clients and cross-functional teams to implement end-to-end ML solutionsTranslate client needs into data-driven processes and measuresAnalyze and transform large enterprise datasets (AWS, Azure, GCP)Design, develop, and deploy ML solutions (recommender systems, NLP, risk scoring)Productionize ML systems with a focus on optimization and scalabilityGrow ML/Data Science practice through client presentations, proposals, and leading teams of junior data scientists and engineers\nKey requirementsBachelor's degree or equivalent experienceHands-on experience with large datasets (multi-billion records)Proficiency in Python, Scala, or similar languagesSQL, Spark, NoSQL, and/or cloud data processing in productionContainerization and microservices (Docker)Experience with Snowflake, Databricks, Azure SQL, Amazon RDSAbility to frame data-driven problems from cross-industry requirementsHands-on experience with production-scale ML in domains like personalization, NLP, or computer visionKnowledge of DevOps, statistics, model management/versioningExperience with LLMs in production, prompt engineering, MCP, RAG, and agentic AI architecturesExperience with LangChain, n8n, pydantic, multi-agent orchestrationcollaboration and teamworkclient presentation and communicationproblem-solving and analytical thinkingPythonScalaSQL","company":"Captech","rawCompany":"captech","city":"McLean","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T03:38:39.784Z","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":"Machine Learning / Data Science Engineer","description":"Overview\nCapTech seeks a Machine Learning Engineer to design and deploy scalable ML solutions for enterprise clients. You will work with cross-functional teams to translate needs into data-driven models and production-ready systems. The role involves modern ML techniques, data platform work, and client-facing delivery to grow CapTech’s ML and DS practices. This is a hands-on, collaboration-driven role at a firm that values relationships, learning, and impact.\n\nCompensation / BenefitsLearning & Development – certification and tuition supportModern Health – mental health and well-being platformCarrot Fertility – fertility and family-forming coverageFringe – lifestyle benefits stipend401(k) matchingflexible work environment and remote options\nResponsibilitiesCollaborate with clients and cross-functional teams to implement end-to-end ML solutionsTranslate client needs into data-driven processes and measuresAnalyze and transform large enterprise datasets (AWS, Azure, GCP)Design, develop, and deploy ML solutions (recommender systems, NLP, risk scoring)Productionize ML systems with a focus on optimization and scalabilityGrow ML/Data Science practice through client presentations, proposals, and leading teams of junior data scientists and engineers\nKey requirementsBachelor's degree or equivalent experienceHands-on experience with large datasets (multi-billion records)Proficiency in Python, Scala, or similar languagesSQL, Spark, NoSQL, and/or cloud data processing in productionContainerization and microservices (Docker)Experience with Snowflake, Databricks, Azure SQL, Amazon RDSAbility to frame data-driven problems from cross-industry requirementsHands-on experience with production-scale ML in domains like personalization, NLP, or computer visionKnowledge of DevOps, statistics, model management/versioningExperience with LLMs in production, prompt engineering, MCP, RAG, and agentic AI architecturesExperience with LangChain, n8n, pydantic, multi-agent orchestrationcollaboration and teamworkclient presentation and communicationproblem-solving and analytical thinkingPythonScalaSQL","datePosted":"2026-09-15T03:38:39.784Z","dateModified":"2026-09-15T03:38:39.784Z","hiringOrganization":{"@type":"Organization","name":"Captech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"22a438a9fb91a7a0565f72a7"},"url":"https://jobsearcher.com/jobs/22a438a9fb91a7a0565f72a7"}}