Eligible to obtain and maintain an active U.S. Secret security clearance
Experience building and deploying containerized ML services using Docker and Kubernetes
Strong stakeholder management skills with proven experience aligning engineering, data, and manufacturing teams
Proficiency in data engineering, time-series data modeling, and working with semantic/ontology-driven data systems
Mentor junior engineers and data scientists; establish best practices for MLOps, observability, data management, and secure handling of sensitive production data
8+ years of experience in software or ML engineering with end-to-end delivery of production-grade AI/ML systems
Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow)
Lead reliability engineering for deployed models-managing drift detection, retraining triggers, alerting, and operational SLOs
Familiarity with event-driven architectures, IoT/UNS patterns, and real-time systems integration
Experience implementing observability for model performance, inference accuracy, and data drift

MLOps engineer

Luxoft

Irvine, CA 92602

Senior Specialist, Software Engineering

L3Harris Technologies

Anaheim, CA 92899

Master of Science or advanced degree preferred and a minimum of 4 years of prior related experience
Expertise in embedded real-time systems software design
Ability to obtain and maintain a secret/security clearance
Or in lieu of a degree, minimum of 10 years of prior related experience
Proven effective communication with Senior Project Management and customer representatives is essential
Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent from a four-year college or university; and minimum 6 years of experience in design and analysis of systems software for power conversion equipment
Experienced in embedded C and C++ programming
Expertise with communication protocols, such as RS-232, RS-485, and Ethernet