About this role
MLOps Engineer at dv01. Location: United States. Role: building platform, deploying models, monitoring models Requirements: 4–7 years platform/DevOps/MLOps experience; hands-on ML lifecycle tooling (MLflow or similar), Kubernetes, Terraform, CI/CD, Python/Go, PyTorch; security and observability mindset; mentoring and cross-functional collaboration. Category: Engineering Seniority: Mid Level Tools: MLflow, Weights & Biases, Kubeflow, SageMaker, Vertex AI Pipelines, Kubernetes, Terraform, Python, Go, PyTorch, Pulumi, GitHub Actions, vLLM, llama.cpp, Model Context Protocol (MCP), LLVM/MLIR, Microsoft Excel Commitment: Full Time Workplace: Remote Languages: English