MLOps Team Lead
Core
Lead and architect scalable MLOps infrastructure, CI/CD workflows, and model serving strategies to support enterprise AI research and production deployment.
Role type
Senior MLOps Team Lead
Builds
Scalable ML pipelines, automated CI/CD workflows, and high-performance model serving infrastructure
Domain
Enterprise AI, Foundation Models, Large Tabular Models
Deliverable
production ML models
Required skills
MLOps leadership, Python, Bash/Go, MLOps platforms (MLflow, WandB), model serving frameworks (Triton, TorchServe, TensorFlow Serving, KServe), data pipelines, Kubernetes, Infrastructure as Code (Terraform, Helm, GitOps), observability (Prometheus, Grafana, Datadog, OpenTelemetry)
Preferred skills
Workflow orchestration (Kubeflow, Airflow, Argo Workflows), FastAPI, data platforms (Databricks, Snowflake), LLM/foundation model serving, SRE practices, cloud security certifications
Technologies
Triton, TorchServe, TensorFlow Serving, KServe, MLflow, WandB, PyTorch, TensorFlow, Kubernetes, Terraform, Helm, GitOps, Prometheus, Grafana, Datadog, OpenTelemetry
Responsibilities
Lead and mentor MLOps engineers, define MLOps roadmap, establish best practices for ML infrastructure, own technical decision-making for architecture, architect automated ML pipelines and CI/CD, partner on model-serving strategy, collaborate on inference architecture, design feature stores and data pipelines, bridge experimentation and production, define monitoring and alerting strategies
Seniority
Senior, hands-on IC with leadership responsibilities
