Job Description :

Role: Machine Learning – Ops Expert 

Location – Santa Clara, 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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