Senior (DevOps) Machine Learning Engineer - Federal

About this job

Expertise in Go or Python, Design Patterns, time and space-efficient algorithms Experience building new products that use challenging algorithms Expertise in coding efficient, object-oriented, modularized and quality software Knowledge of core AI/ML techniques and algorithms Knowledge of unit testing, profiling, and code tuning DevOps requirements Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back. Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.…

This is a short summary.

Want to know if you're a fit? Check your CV against this role — free, in 30 seconds.

Most-requested skills in the United States

Based on 428 United States vacancies that list requirements, these are the skills employers ask for most often.

• Project Management36% of postings
• CAD22% of postings
• AutoCAD20% of postings
• Lean17% of postings
• MATLAB14% of postings
• Six Sigma12% of postings
• SolidWorks10% of postings
• Revit10% of postings

Similar jobs

• Plant Manufacturing Engineer · Trane Technologies
• Quality and Process Engineer · Trane Technologies
• Staff Software Engineer - Distributed Embedded Systems · GE HealthCare
• Software Engineer - Embedded Systems, Anesthesia Devices · GE HealthCare
• Staff Electrical and Machine Safety Engineer · Danaher
• Field Service Engineer - Hematology/Urinalysis (Bay Area) · Danaher