Job Description :

Machine Learning Ops Expert

Location: Santacalra, CA


  • Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
  • Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
  • Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.
  • Develop ETL pipelines, tools and processing jobs for data cleansing, labeling and analysis.
  • Experience deploying machine learning models into production environment.
  • Strong DevOps, Data Engineering and ML background with Cloud platforms
  • Experience in containerization and orchestration (such as Docker, Kubernetes)
  • Experience building/operating systems for data extraction, ingestion and processing of large data sets
  • Experience with MLOps tools such as MLFlow and Kubeflow
  • Experience in Python scripting
  • Experience with CI/CD
  • Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.


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