Senior MLOps Engineer

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 safe, 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 production at scale.

Strong understanding of the end-to-end ML lifecycle, including data ingestion, training, serving, monitoring, and retraining.

Hands-on experience with ML tooling such as feature stores, DVC, MLflow, JFrog, and Airflow, along with data labeling/annotation tools such as CVAT.

Proficiency with containerization and orchestration for scalable, production-grade deployments.

Solid hands-on experience with cloud-native AI development on AWS, particularly SageMaker and SageMaker Pipelines.

Proficiency with Git and enterprise version control and CI/CD workflows (e.g., Azure DevOps)

Experience with GenAI orchestration frameworks (e.g., n8n) and implementing guardrails for safe, governed AI application development.

Familiarity with model observability, logging frameworks, and telemetry strategies for AI applications (e.g., OpenTelemetry, Grafana).

Experience with drift detection, A/B testing, or shadow deployment strategies for ML models in production.

Prior experience building internal ML/AI platforms used by multiple teams or mentoring engineers in an MLOps/platform capacity.

Good understanding of model governance frameworks and responsible AI practices, including model cards and lineage tracking.

Create a better #TomorrowWithUs!

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds