Machine Learning Engineer (MLE) – 5+ Years | Bengaluru (Hybrid)

Develop, train, evaluate, and deploy Machine Learning models for forecasting, anomaly detection, predictive maintenance, and classification/regression use cases. Build scalable feature engineering, data preprocessing, and model training pipelines using Python and SQL. Work with large-scale industrial and operational datasets to generate predictive and prescriptive insights.

Develop time-series forecasting and analytics solutions using sensor and telemetry data. Hands-on experience with Databricks Machine Learning and DataRobot for model development and deployment.

Experience working with AVEVA PI System (OSI PI) and Azure Data Explorer (ADX). Implement end-to-end MLOps practices, including model deployment, monitoring, versioning, governance, and lifecycle management. Build automated CI/CD pipelines for model training, testing, validation, and deployment.

Monitor model performance,



data drift, and model drift, and implement continuous retraining strategies. Perform feature engineering, hyperparameter tuning, statistical analysis, and model optimization. Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders to deliver enterprise AI solutions.

Strong understanding of supervised/unsupervised learning, time-series analytics, and predictive modeling. Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, Mathematics, or a related field.

Experience with Azure cloud-based data platforms and enterprise-scale ML solutions is preferred. Preferred certifications include Microsoft DP-100, AI-102, Databricks Machine Learning Skilled, and DataRobot AI Practitioner.

📌 Machine Learning Engineer | Azure | Databricks | MLOps (Bengaluru)
🏢 Innova ESI
📍 Bengaluru