MLOps Engineer

We’re looking for a Mid-Level MLOps Engineer to join our Hyderabad team. This is a hands-on role focused equally across Data Engineering (50%) and MLOps (50%), with responsibility for building scalable data pipelines and operationalizing machine learning solutions in production.

Responsibilities

• Design and maintain scalable batch and streaming data pipelines
• Build and optimize ETL/ELT workflows using Databricks, PySpark, SQL, and Azure Data Factory
• Develop curated datasets, feature engineering pipelines, and data products
• Deploy, monitor, and support machine learning models in production
• Support the full ML lifecycle, including training, validation, deployment, monitoring, and retraining
• Implement model performance monitoring, data drift detection, alerting, and governance
• Troubleshoot production issues and support platform reliability and SLAs
• Partner with data scientists, analysts, and business stakeholders to operationalize data and AI solutions

Qualifications

• 3+ years of experience across Data Engineering and/or MLOps
• Strong SQL, Python, and PySpark
• Hands-on experience with Databricks and Azure Data Factory
• Experience building and supporting production data pipelines
• Experience with ML model deployment and MLOps/lifecycle management
• Familiarity with Git, CI/CD, automated testing, and software engineering best practices
• Understanding of data modeling, analytics engineering, and machine learning concepts
• Strong troubleshooting and communication skills

If you’re passionate about Data Engineering, MLOps, and building production-ready data and AI solutions, this could be a great fit. We encourage you to apply!