Talent Stack

About the Company

Talent Stack, LLC is a boutique recruiting and sourcing consultancy that partners with companies to deliver the best technical talent for cutting-edge tech teams. We specialize in building tailored, scalable talent strategies that align with your company’s vision and growth goals.

At Talent Stack, we believe innovation starts with people. That’s why we’re committed to “Strategically Stacking Talent for Tomorrow’s Tech.” Whether you're a startup pushing boundaries or an established company evolving fast, we connect you with the talent that moves technology forward.

Listed Jobs

Company Name

Talent Stack

Job Title

Machine Learning Engineer

Job Description

**Job Title:** Machine Learning Engineer **Role Summary:** Design, build, and maintain production‑grade machine‑learning systems for mission‑critical, security‑sensitive environments. Emphasize system performance, scalability, and reliability while delivering user‑facing analytics tools. **Expectations:** - 4+ years of professional experience as an ML Engineer, Software Engineer, or equivalent. - Proven track record deploying and supporting ML models in live production. - Active, transferable Secret clearance (TS/TS‑SCI acceptable). - U.S. citizenship; ability to work in SCIFs and other secure facilities. - Strong ownership mindset and adherence to software engineering best practices. **Key Responsibilities:** - Design, develop, and operate production ML pipelines and services using Python. - Lead platform upgrades to improve scalability, performance, and reliability. - Create interactive, user‑facing analytics dashboards via a Python‑based SDK. - Optimize data access patterns and runtime performance of ML workloads. - Troubleshoot and resolve issues in live, mission‑critical applications. - Collaborate with Technical Product Managers to enhance usability and delivery. **Required Skills:** - Advanced Python development in production environments. - Experience with ML model deployment, monitoring, and lifecycle management. - Strong software engineering fundamentals (testing, version control, CI/CD). - Systems performance tuning and optimization. - Building backend services and data pipelines. - Development of user‑facing analytics or decision‑support tools. - Ability to operate in security‑sensitive, regulated settings. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related STEM field (U.S. institution preferred). - Active Secret clearance (TS/TS‑SCI acceptable). - No additional certifications mandated.

Washington dc-baltimore, United states

On site

Junior

09-02-2026