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
- Solid 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!

📌 MLOps Engineer (Secunderabad)
🏢 Insight Global
📍 Secunderabad