Hello Talented Techie!

We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.

We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective

We are looking for ML Ops Engineer

We are seeking a skilled and proactive ML Ops Engineer to join our team to streamline and scale machine learning workflows. The ideal candidate will be responsible for deploying, monitoring, and maintaining ML models in production environments, ensuring reliability, scalability, and performance. You will work closely with data scientists, software engineers, and DevOps teams to bridge the gap between model development and production deployment.

Key Responsibilities:

Model Deployment & Automation: Design and implement CI/CD pipelines for ML models. Automate model training, testing, and deployment workflows. Infrastructure & Scalability: Manage cloud-based infrastructure (e.g., AWS, Azure, GCP) for ML workloads. Optimize resource usage and ensure scalability of ML systems. Monitoring & Maintenance: Monitor model performance and data drift in production. Implement logging, alerting, and rollback mechanisms. Collaboration & Integration: Work with data scientists to productionize models. Integrate ML models into existing applications and services. Security & Compliance: Ensure data privacy and compliance with relevant regulations. Implement secure access controls and audit trails.

You’d describe yourself as:

Required Skills:

Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with containerization tools (Docker, Kubernetes). Familiarity with cloud platforms (AWS, GCP, Azure). Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Understanding of model monitoring tools (e.g., Prometheus, Grafana, MLflow). Strong grasp of software engineering principles and DevOps practices.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience with data versioning tools (e.g., DVC). Familiarity with feature stores and model registries. Prior experience in deploying models in real-time or batch environments.

Ready to unlock the full potential of technology? Join us!

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. 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 welcome 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 creativity and help us craft tomorrow.