MLOps / Data Engineer

Were looking for the person who makes ML and GenAI systems boring in the best way—reliable, observable, and ready for production.

On Nebulai marketplace contracts, youll build and harden the pipelines and platforms behind client AI work: CI/CD for models, feature and data pipelines, monitoring, drift checks, and infra that CoE and product teams can trust day after day.

• You’ll be a good match if you
• Have real MLOps or data-platform experience (orchestration, containers, IaC)
• - Are solid in Python and at least one cloud for ML/data workloads (AWS, Azure, or GCP)
• - Know model serving, experiment tracking, and production observability
• - Collaborate easily with data scientists, ML engineers, and platform/security teams
• Nice to have
• Kubernetes; Airflow, Prefect, or Dagster
• - Feature stores, vector DBs, or LLM ops tooling
• - Supporting an enterprise AI platform or CoE standards
• Contract placements through Nebulai. Apply at https://nebulai.app