Job Title: ML Engineer – AI/ML Platform & MLOps
Location: Noida | Bangalore | Kolkata
Employment Type: Full time
Experience: 3–8 Years
Industry Focus: IT Services, Artificial Intelligence & Analytics

Position Summary

We are seeking a skilled ML Engineer – AI/ML Platform & MLOps with 3-8 years of experience in building, deploying, monitoring, and scaling end-to-end Machine Learning solutions. The ideal candidate will have expertise across the complete AI/ML lifecycle, including data engineering, feature engineering, model development, deployment, MLOps, monitoring, governance, and AI application development. This role involves designing scalable AI platforms, productionizing ML models, and enabling enterprise-wide AI adoption through robust engineering practices.

Strategic Responsibilities

Design and develop scalable data pipelines for structured and unstructured data to support enterprise AI initiatives.
Build reusable feature engineering frameworks, feature stores, and data quality validation pipelines.
Develop, train, optimize,



and deploy Machine Learning models for business use cases such as demand forecasting, demand sensing, customer churn prediction, recommendation systems, price elasticity, optimization, NLP, regression, classification, and time-series forecasting.
Build AI-powered business applications, intelligent decision-support systems, and production-grade ML services.
Develop APIs, microservices, inference services, and scoring engines for real-time and batch model serving.
Design and implement robust MLOps pipelines, including CI/CD workflows, automated model deployment, experiment tracking, and model versioning.
Build automated model retraining and continuous delivery pipelines across cloud and on-premise environments.
Implement monitoring frameworks for model drift, data drift, concept drift, explainability, fairness, bias detection, and performance degradation.
Contribute to the development of enterprise AI/ML platforms, reusable ML components,

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