ML Operations Lead

Job Description: ML Operations Lead

Location: Hinjewadi Phase 1 Pune Experience: 8 Years Grade: Senior Manager (E1)

Job Summary

We are looking for an experienced ML Operations Lead to manage and operate traditional Machine Learning (ML) models in production. The role involves leading a team of two ML Operations Engineers and ensuring models remain accurate reliable and efficient through continuous monitoring retraining validation and deployment management.
The candidate should have strong hands-on experience in MLOps production ML model management drift monitoring and model lifecycle management along with team leadership and stakeholder management skills.

Note: This role focuses on traditional Machine Learning models such as churn prediction fraud detection revenue assurance and network forecasting. It does not focus on LLMs or Generative AI.

Key Responsibilities

Lead and mentor a team of two ML Operations Engineers.
Manage the deployment monitoring retraining and maintenance of ML models in production.
Monitor data drift feature drift concept drift and model performance degradation.
Establish model validation processes using backtesting and champion-challenger approaches.
Manage model versioning registries lineage auditability and rollback procedures.
Ensure model changes requested by business teams are delivered within agreed timelines.
Monitor model performance accuracy bias and fairness.
Collaborate with Data Engineering teams to resolve data-quality and data-freshness issues.
Coordinate with Singapore-based leadership on incidents deployments operational standards and change management.
Track and report model health deployment success and operational KPIs.

Required Skills

Strong experience in Machine Learning Operations (MLOps) and production ML systems.
Hands-on experience with ML model deployment monitoring retraining and validation.
Knowledge of model drift detection and performance monitoring.
Experience with ML CI/CD pipelines model registries and model lineage.
Knowledge of backtesting champion-challenger testing AUC and precision-recall metrics.
Understanding of bias and fairness monitoring.
Experience with cloud-based ML platforms.
Strong team leadership communication and stakeholder management skills.
Experience & Qualifications
8 years of experience in ML MLOps or Data Science Engineering.
Prior experience leading a technical team.
Proven experience operating traditional ML models in production.
Bachelors degree in Computer Science Data Science Engineering Statistics or a related field.

Preferred: Experience in telecom environments and customer churn prediction models.
Preferred: Experience coordinating with international teams and business stakeholders.

Work Details
Work Location: Hinjewadi Phase 1 Pune
Work Mode: 5 days a week work from office
Working Hours: 9:00 AM - 6:00 PM IST
Notice Period: Immediate joiners or candidates serving notice period
Team Size: 2 ML Operations Engineers
Reporting To: AI & Agent Operations Leadership Singapore

Required Skills:

CI/CDTESTINGMACHINE LEARNING