Talent Stack ยท 22 hours ago
Machine Learning Engineer
Talent Stack is supporting a confidential, defense-focused technology client in hiring a Machine Learning Engineer to build and deploy production-grade AI applications in mission-critical environments. This role involves designing, building, and maintaining production ML systems, enhancing performance and usability, and collaborating closely with Technical Product Managers.
Responsibilities
Design, build, and maintain production ML systems using Python
Lead platform and system upgrades to improve scalability and performance
Develop interactive, user-facing analytics dashboards using a Python-based SDK
Optimize data access patterns and runtime performance
Troubleshoot and resolve issues in live, mission-critical applications
Partner closely with Technical Product Managers to enhance usability and delivery
Qualification
Required
4+ years of professional experience as an ML Engineer, Software Engineer, or similar
Bachelors degree from a top US based Computer Science program/STEM related degree
4+ years of Python engineering experience in production environments
Proven experience deploying and maintaining ML models in live systems
Solid understanding of software engineering best practices (testing, version control, performance, maintainability)
Experience working in security-sensitive, regulated, or mission-critical environments
Active Secret clearance
Prior experience supporting DoD, IC, or federal customers
Strong systems and performance optimization experience
Experience building user-facing analytics or decision-support tools
Benefits
5000 of equity shares
Company
Talent Stack
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.
Funding
Current Stage
Early StageCompany data provided by crunchbase