Role: ML Ops Lead

Location: Pune

Experience: 8+ Years

Work Mode: 5 Days Work from Office

Working Hours: 9:00 AM 6:00 PM IST

Notice Period: Immediate joiners

Position : Fulltime

Job Summary

We are looking for an experienced ML Operations Lead to manage traditional machine learning models in production, lead a team of ML Operations Engineers, and ensure model performance, reliability, and continuous improvement. The role focuses on classical MLOps, not LLMs or Generative AI.

Key Responsibilities

- Lead and mentor the ML Operations team.
- Manage model deployment, monitoring, retraining, validation, and rollback.
- Implement drift detection for data, features, and model performance.
- Manage ML CI/CD pipelines, model registries, versioning, and lineage.
- Apply champion-challenger testing and backtesting before production releases.
- Monitor model performance using AUC, precision, recall, and related metrics.
- Support customer churn prediction, fraud detection, revenue assurance, and network forecasting models.




- Coordinate with Data Engineering, business stakeholders, and Singapore-based leadership.

Mandatory Skills

- MLOps and production ML model management
- Customer Churn Prediction
- Model Deployment and Monitoring
- Drift Detection and Model Retraining
- ML CI/CD, Model Registry, and Lineage
- Model Validation, Backtesting, and Champion-Challenger Testing
- Team Leadership and Stakeholder Management

Qualifications & Experience

- Bachelors degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
- 8+ years of experience in ML, MLOps, or Data Science Engineering.
- Hands-on experience operating traditional ML models in production.
- Experience in drift monitoring, retraining pipelines, and model validation.
- Telecom domain experience is preferred.

Share your resume to

Vishal Kumar

[email protected]/[email protected]

📌 ML Ops Lead (Pune)
🏢 Akaasa Infotech Noida
📍 Pune