Senior Staff MLOps Engineer
Core
Build and scale the self-service MLOps platform for Rosso, the core transaction infrastructure that prices electricity and balances portfolios in real-time for thousands of businesses.
Role type
Senior Staff MLOps Engineer (Platform Strategy & Architecture)
Builds
A self-service MLOps platform enabling ML engineers to run experiments, compare models, and ship to production without external intervention.
Domain
Energy trading, real-time pricing, and large-scale optimization workloads.
Deliverable
production ML models | infrastructure
Required skills
ML platform scaling from early-stage to best-in-class, ML pipeline orchestration (Metaflow, Prefect, Airflow), model lifecycle tooling (MLflow, W&B), MLOps monitoring and drift detection, CI/CD for ML, containerization, Infrastructure as Code (Terraform, AWS CDK), Python, AWS services.
Preferred skills
Operations research and large-scale optimization, business-critical time series forecasting, reinforcement learning in production, production LLM workloads.
Technologies
Metaflow, AWS Batch, Terraform, AWS CDK, MLflow, W&B, Sagemaker, Vertex AI, Airflow, Python.
Responsibilities
Define the ML platform roadmap and architectural decisions, build experiment tracking and model registry infrastructure, design backtesting and shadow deployment systems, establish standards for model training, versioning, and deployment, drive deployment reliability for near-real-time processes.
Seniority
Senior Staff, technical leadership with hands-on architectural execution.