ML OPS Engineer

ML Ops Engineer Concord, CA 12 months contract Job Summary We are seeking an experiencedML Ops Engineerto design, build, and support scalable, secure, and production-ready machine learning platforms across cloud and on-premises environments. The ideal candidate will have strong expertise in MLOps, Kubernetes, cloud platforms, automation, and reliability engineering. Required Qualifications 8+ years of experience in Platform Engineering, DevOps, MLOps, or related fields. Strong experience with

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fu

Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes in

Experience: Relevant experience in AI/ML engineering and MLOps Key Responsibilities Design, develop, and deploy AI/ML models and solutions.Build and maintain scalable MLOps/AI pipelines for model training, deployment, monitoring, and lifecycle management.Develop production-ready AI applications using Python.Work with machine learning frameworks, APIs, cloud platforms, and modern AI/LLM technologies.Implement CI/CD, model versioning, experiment tracking, and automated deployment workflows.Monitor