ML Ops Lead

Akaasa Infotech Noida; Pune District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Akaasa Infotech Noida seeks an experienced ML Operations Lead in Pune to manage traditional ML models in production and lead a team of ML Operations Engineers.

The role focuses on classical MLOps, not LLMs, with responsibilities spanning deployment, monitoring, validation, drift detection, and governance across data, features, and models. Immediate joiners preferred.

Qualifications

• 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.

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

Skills

MLOps and production ML model

Customer Churn Prediction

Model Deployment and Monitoring

Drift Detection and Model Retraining

ML CI/CD, Model Registry, and Lineage

Model Validation, Backtesting, and CH–

Team Leadership and Stakeholder Mgmt

Education

Bachelors degree in Computer Science/Data Science/Engineering/Statistics

Job description

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.