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MLOP's Engineer

4-6 Years

This job is no longer accepting applications

Job Description

Responsibilities

  • Design, implement, and manage end-to-end ML pipelines for model training, testing, and deployment
  • Deploy and maintain machine learning models in production environments
  • Develop and optimize data pipelines using SQL (mandatory)
  • Work closely with Data Scientists and Data Engineers to operationalize ML models
  • Build and maintain CI/CD pipelines for ML workflows
  • Monitor model performance and ensure scalability and reliability
  • Utilize Databricks for data engineering, model development, and deployment
  • Ensure best practices in data governance, versioning, and reproducibility
  • Troubleshoot and resolve production issues efficiently

Qualifications

  • Strong experience in ML Ops (Model Deployment, Monitoring, CI/CD)
  • Hands-on experience with Databricks
  • Strong SQL expertise (mandatory) for data manipulation and pipeline development
  • Good communication and stakeholder management skills
  • Experience with cloud platforms (AWS/Azure/GCP)
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 4+ years of relevant experience in ML Ops / Data Engineering / ML Engineering

Skills: databricks,ml,ops

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About Company

Job ID: 151617129

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