PUNE · FULLTIME
ML Ops Lead

Akaasa Infotech Noida
Pune · onsite · Posted 2d ago
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Section · 01
About this role
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 removed]/[email removed]
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Section · 02