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ML/Ops Engineer or Scaled AI engineer
2 months ago
Job Title: ML/Ops Engineer or Scaled AI engineer
Experience : 4+ years
Location: Pune
Skills - Azure, Databricks, ML Flow, Python, Azure Dev, Spark, Docker, Kubernetes
Job Details and Requirements:
Detailed JD – The role involves a comprehensive assessment of the current MLOps pipeline developed in Azure Databricks.
It includes
Assessment and Benchmarking : Conduct a thorough analysis of the existing MLOps pipeline, identifying any gaps or areas where it falls short compared to market standards.
This includes evaluating aspects such as scalability, efficiency, automation, and integration.
Opportunity Identification : Pinpoint specific areas for improvement within the current pipeline, whether it be in workflow automation, model deployment, monitoring, or any other critical component of the MLOps lifecycle.
Pipeline Development and Deployment : Design, build, and deploy an enhanced ML pipeline that addresses identified gaps.
Ensure the new pipeline is robust, scalable, and aligned with best practices to support continuous integration and deployment of machine learning models.
