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    Job · 21444020

    PUNE · FULLTIME

    ML Ops Lead

    Akaasa Infotech Noida

    Akaasa Infotech Noida

    Pune · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed8–13 yrsfulltimePune

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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]

    Sourced from naukri

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    Section · 02

    Skills

    Dockermachine learning algorithmsMLOpsml algorithmsMl PipelinesflowMl Deploymentci/cd pipelineTensorflowPythonMachine Learning

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