Dear Aspirant

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for: Senior Software Engineer - MLOps Engineer

You’ll Make An Impact By

Design and build reusable ML infrastructure that supports multiple teams, projects, and use cases across the organization.
Standardize AI development workflows, from experimentation through to production deployment.
Enable self-service model deployment with scalable, production-grade inference endpoints.
Automate data ingestion and validation pipelines to ensure high-quality, reliable inputs for ML systems.
Build and maintain training and retraining pipelines, including feature engineering workflows.
Own model packaging and deployment processes, ensuring consistency, repeatability, and CI/CD readiness.




Implement and optimize GPU-based inference for high-throughput, low-latency model serving.
Build systems for data and model drift detection to maintain model performance over time.
Maintain model registries, model cards, and version control for both models and datasets.
Implement observability, logging, and tracing across ML pipelines and inference services.
Incorporate guardrails and governance controls into GenAI application workflows to ensure secure, compliant deployment.
Collaborate in technical reviews and mentor engineering teams on MLOps best practices and trade-offs.

Use your skills to move the world forward

Bachelor's or Master's degree (BTech/MTech/MCA) in Computer Science, Information Technology, Electrical/Electronics Engineering, or a related technical field.
5+ years of experience in MLOps, ML engineering, DevOps, or a related discipline, including hands-on experience deploying and operating ML systems in productio

📌 Senior MLOps Engineer (India)
🏢 Siemens
📍 India