We are seeking for an MLOps Engineer. This role requires MLOps Engineer to join a team that develops and builds MLOps infrastructures in a secure and closed environment (Air-Gapped Environment). The role includes working with Open Source technologies, building and maintaining Linux and Kubernetes-based infrastructures, and developing automations and tools in Python that support Machine Learning processes. It is important to emphasize that this is not a classic DevOps role. The work environment is not cloud-based, so experience with AWS, Azure, or GCP is not a core requirement for the role.
Requirements: Previous experience in MLOps roles or similar roles.
Experience working in an Air-Gapped Network environment - required. Experience working with Open Source tools.
Experience working with Linux.
Experience working with Kubernetes.
Experience developing and writing in Python - required.
Ability to work independently, learn quickly, and work in a team.
This position is open to all candidates.