Senior MLOps Engineer
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The role
Join a Global Football Metrics team to build and scale the machine learning infrastructure powering advanced sports analytics.
Own the MLOps pipelines that transform raw data and ML models into production-ready insights used by professional teams.
Design scalable ML platforms spanning training, deployment, monitoring, and retraining across the full ML lifecycle.
Collaborate with Data Scientists, ML Engineers, Software Engineers, Product, and Platform teams to deliver robust automated ML systems bridging research and production.
Implement CI/CD for ML models, automate retraining workflows, and build monitoring to maintain reliability with frequent updates.
Mentor teammates on model versioning, experiment tracking, and feature stores while promoting best practices.
Own the MLOps pipelines that transform raw data and ML models into production-ready insights used by professional teams.
Design scalable ML platforms spanning training, deployment, monitoring, and retraining across the full ML lifecycle.
Collaborate with Data Scientists, ML Engineers, Software Engineers, Product, and Platform teams to deliver robust automated ML systems bridging research and production.
Implement CI/CD for ML models, automate retraining workflows, and build monitoring to maintain reliability with frequent updates.
Mentor teammates on model versioning, experiment tracking, and feature stores while promoting best practices.
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