Senior Machine Learning Engineer

🚨 Hiring: Senior MLOps Engineer 📍

Location: Bengaluru 💼

Experience: 5–7 Years 🕜

Shift: 1:30 PM – 10:30 PM 🎯

Notice Period: Immediate to 30 Days Preferred Primary Skill ✅ MLOps Key Skills Required

• MLOps & Machine Learning Engineering
• Azure Machine Learning (Azure ML)
• ML Pipelines & Model Deployment
• CI/CD (Azure DevOps, YAML Pipelines)
• Azure Databricks
• Azure Data Factory (ADF)
• PySpark, Delta Lake & ADLS
• Python (NumPy, Pandas, Scikit-learn, PyTorch)
• Docker & Containerization
• REST APIs (FastAPI / Flask)
• Model Monitoring & Data Drift Detection
• Git, Logging & Testing Frameworks
• Time Series Forecasting
• Feature Engineering
• Optimization Models
• PI Historian / OT Data
• Production Engineering (Oil & Gas preferred) Roles & Responsibilities
• Design, build, and maintain end-to-end MLOps pipelines for production-grade machine learning solutions.
• Develop and deploy ML models using Azure ML, Databricks, and Azure DevOps.
• Build scalable data pipelines using ADF, PySpark, Delta Lake, and ADLS.
• Automate model training, deployment, monitoring, and retraining workflows.
• Implement CI/CD pipelines for ML lifecycle management.
• Monitor model performance, data drift, and production health.
• Collaborate with production engineers and business stakeholders to deliver AI-driven solutions.
• Build APIs and containerized deployments using FastAPI/Flask and Docker.
• Work with time-series data, sensor data, and optimization models in industrial environments.