Machine Learning Engineer jobs in United States
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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.

Staffing & Recruiting
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Hiring Manager
Colleen Faria
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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

Machine Learning deploymentPython programmingSoftware engineering fundamentalsPerformance optimizationUser-facing analytics toolsMaintainabilityTeam collaborationProblem-solvingOwnership

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

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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 Stage
Company data provided by crunchbase