MLOps Team Lead
Core
Lead the development of an internal machine learning platform to automate R&D workflows and run pipelines to production for the Large Market Modeling team.
Role type
Senior IC MLOps Team Lead
Builds
Automation and infrastructure powering research (R&D) workflows and production pipelines
Domain
Machine Learning Operations, Distributed Systems, Cloud Infrastructure
Deliverable
infrastructure
Required skills
MLOps, Python, Team Leadership, ML Model Lifecycle Management, Pipeline Orchestration, Cloud Platforms, Distributed Computing, Docker, Kubernetes
Preferred skills
Dagster, Ray, Spark, Predictive Modeling, Aviation Domain Knowledge
Technologies
Python, Dagster, Airflow, GCP, AWS, Azure, Dask, Ray, Spark, Docker, Kubernetes, Ray
Responsibilities
Lead and mentor a team of MLOps engineers; Own end-to-end infrastructure and pipeline initiatives; Contribute to design, code, and engineering standards; Drive ML model-lifecycle milestones; Partner with R&D to translate needs into scalable systems; Evolve the platform including migration from Dask to Ray.
