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Hi

We have an urgent job opening for Data Science Consultant

Description:

Looking for ML Ops expert with the following skills,
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.

If interested please share updated resume on shahina@onpointinsights.us

Thanks

shahina