Vacancy Description
We are looking for a skilled ML Ops Engineer with strong experience in deploying and managing machine learning models in production environments. The ideal candidate must have hands-on expertise in ML Ops practices, Databricks, and strong SQL skills (mandatory) along with good communication abilities to collaborate effectively with cross-functional teams.
Responsibilitie
- s Design, implement, and manage end-to-end ML pipelines for model training, testing, and deploymen
- t Deploy and maintain machine learning models in production environment
- s Develop and optimize data pipelines using SQL (mandatory
- )Work closely with Data Scientists and Data Engineers to operationalize ML model
- s Build and maintain CI/CD pipelines for ML workflow
- s Monitor model performance and ensure scalability and reliabilit
- y Utilize Databricks for data engineering, model development, and deploymen
- t Ensure best practices in data governance, versioning, and reproducibilit
Responsibilitie
- s Design, implement, and manage end-to-end ML pipelines for model training, testing, and deploymen
- t Deploy and maintain machine learning models in production environment
- s Develop and optimize data pipelines using SQL (mandatory
- )Work closely with Data Scientists and Data Engineers to operationalize ML model
- s Build and maintain CI/CD pipelines for ML workflow
- s Monitor model performance and ensure scalability and reliabilit
- y Utilize Databricks for data engineering, model development, and deploymen
- t Ensure best practices in data governance, versioning, and reproducibilit
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