AI / Machine Learning Engineer – MLOps

Location: Pune
Experience: 8–11 Years(30575)
Notice Period: Immediate to 45 Days
Employment Type: Full time
Interview Process: 2 Technical Rounds + 1 Client Round + HR

Role Overview

We are looking for an experienced AI / Machine Learning Engineer with a strong focus on MLOps and production operations.

The role will be responsible for managing MLOps workflows, tools, and production support processes for machine learning solutions. You will ensure the stability, reliability, performance, governance, and continuous improvement of ML models and pipelines throughout their lifecycle.

This is a client-facing role requiring excellent communication and stakeholder-management skills.

Key Responsibilities

-
Design, implement, and manage MLOps workflows, tools, and operational processes for AI/ML solutions.

-
Monitor the day-to-day stability, reliability, and operational health of ML models and pipelines.

-
Manage the complete ML model lifecycle, including:

-
Model Registration

-
Versioning

-
Deployment Tracking

-
Lineage

-




Reproducibility

-
Monitoring

-
Governance

-
Implement monitoring for data drift, concept drift, model performance degradation, inference quality, and service-level issues.

-
Develop and execute incident handling, recovery, rollback, and escalation procedures for ML-related issues.

-
Support data quality, lineage tracking, and governance throughout the ML lifecycle.

-
Perform SQL-based data validation, troubleshooting, monitoring, and reporting.

-
Develop and maintain dashboards and alerts for ML and production environments.

-
Support CI/CD, scripting, Git-based workflows, and production operations.

-
Translate ML governance principles into practical implementation and operational processes.

-
Collaborate with technical and non-technical stakeholders to identify and resolve complex ML operational issues.

-
Contribute to continuous improvement of MLOps processes, tools, and production support prac

📌 AI / Machine Learning Engineer – MLOps (Pune)
🏢 Umanist Staffing
📍 Pune