About the role
Lead and mentor a team of MLOps engineers and define the MLOps roadmap.
📋 Description Lead and mentor a team of MLOps engineers, fostering growth and excellence Define and drive the MLOps roadmap, aligning infra with Research, Engineering and product goals Establish best practices and standards for ML infra, deployment, and operations Own decision-making for ML infra architecture and tooling choices Architect and oversee scalable ML pipelines, CI/CD workflows, and orchestration Drive model serving infrastructure using Triton, TorchServe, TF Serving, and KServe 🎯 Requirements Bachelor's or Master's in CS/Engineering (or equivalent practical experience) 7+ years in MLOps, with 3+ years in technical leadership Strong Python skills, plus Bash and/or Go Proven track record building and leading high-performing MLOps teams Experience building MLOps infrastructure from the ground up Deep experience with MLOps platforms (MLflow, WandB) and frameworks (PyTorch, TensorFlow) 🎁 Benefits Competitive compensation with salary and equity Comprehensive health coverage for you and your dependents Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys Relocation support for employees moving to join the team in one of our office locations A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Read the full posting on empllo →
FAQ
Is the MLOps Lead role at Keystone AI remote?+
This MLOps Lead position is listed as remote (Europe).
What seniority level is this MLOps Lead role?+
This is a lead level position.
How do I apply for the MLOps Lead role at Keystone AI?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Keystone AI.