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Job Description
Structured overview of role & requirementsAbout This Role
Own monitoring and validation of ML model performance, including accuracy, latency, drift, bias, and ensuring data quality consistency between training and inference.
Support and monitor ML pipelines on Azure Machine Learning and Databricks in a 24x7 production environment ensuring SLA adherence and operational stability.
Troubleshoot and fix issues in Python-based ML workflows, perform root cause analysis of failures, and lead incident management and escalation processes.
Minimum Requirements
Work Experience Required: Not explicitly mentioned in the JD
Mandatory technical skills: Experience with Python-based ML workflows, Azure Machine Learning, Databricks, and monitoring ML models and pipelines.
Location: Must be based in Pune, Maharashtra, India (IN-MH-Pune)
Time Type: Full time employment required
Ideal Candidate Profile
Experienced in supporting and troubleshooting production ML systems with strong operational and incident management skills in 24x7 environments.
Skilled in identifying and implementing improvements for model stability, monitoring coverage, automation, and escalation support in ML workflows.
Comfortable working closely with L1 engineers, maintaining documentation, runbooks, and following change management for production ML fixes.