Key Responsibilities:

The ML Engineer will develop, support, monitor, and troubleshoot machine learning pipelines and model operations

across the Azure ecosystem. The role focuses on model performance monitoring, incident management, root cause

analysis, and continuous improvement of ML workflows supporting analytics and AI-driven applications. Depending on

experience, the engineer will operate as first-line support and exhibit skills in advanced troubleshooting and fixes.

Required Qualifications:

Model Monitoring & Validation

 Monitor model performance metrics (accuracy, latency, drift, bias).

 Validate prediction outputs and ensure consistency across settings.

 Support model explainability and debugging of prediction anomalies.

 Ensure data quality alignment between training and inference pipelines.

ML Pipeline Support & Monitoring

 Monitor and support ML pipelines across Azure Machine Learning, Databricks, and related services.

 Track model performance, drift, and pipeline execution failures.

 Identify issues in data ingestion, feature engineering,



and model inference workflows.

 Ensure SLA adherence and operational stability in a 24×7 production setting.

Model Support & Fix Implementation

 Analyze and fix issues in Python-based ML workflows, including feature pipelines and model logic.

 Support model retraining, versioning, and deployment fixes.

 Improve model stability, performance, and monitoring coverage.

 Follow change management and deployment processes for production ML fixes.

Incident Management & Troubleshooting

 Troubleshoot failed ML pipelines, model training/inference jobs, and deployment issues.

 Analyze alerts related to model performance degradation, drift, or data inconsistencies.

 Execute resolution steps (job restarts, pipeline re-runs, endpoint fixes) and escalate when needed.

 Perform root cause analysis (RCA) for model failures, prediction anomalies, and pipeline breakdowns.

Collaboration & Co

📌 Machine Learning Engineer Ahmedabad
🏢 Trigent Software
📍 Ahmedabad