A Snapshot of Your Day
As a Software Engineer within the Scalable Core team, you will collaborate with a diverse group of talented professionals to design, develop, and deploy cutting‑edge ML/AI platforms that drive Siemens Energy’s intelligent energy management solutions. Your day might include working with Python code for machine learning pipelines, integrating MLOps tools like Kubeflow or MLflow, and ensuring seamless deployment across cloud, on‑premises, and edge environments. You’ll engage in collaborative problem‑solving sessions, participate in code reviews, and contribute to enhancing our developer experience by implementing automated quality assurance processes. Additionally, you’ll stay updated with the latest advancements in AI/ML to continuously innovate and improve our platform offerings.
How You’ll Make An Impact
* Design, build, and maintain scalable ML/AI platforms that enable the creation and deployment of intelligent energy management solutions.
* Create and optimize MLOps pipelines for efficient model training, experimentation, and lifecycle management.
* Integrate tools for automatic hyperparameter tuning and ensure AI model Service Level Agreements (SLAs) are met to maintain high performance and reliability.
* Work closely with data engineers, software developers, and other stakeholders to manage ETL processes and ensure seamless data integration within ML pipelines.
* Utilize containerization and orchestration technologies like Docker and Kubernetes to deploy solutions across cloud, on‑premises, and edge environments.
* Contribute to the development of CI/CD pipelines, monitoring systems, and automated quality assurance processes to enhance overall developer productivity and software quality.
What You Bring
* A Master’s degree in Computer Science or a related field.
* Over five years of experience as a software engineer, with at least three years focused on ML/AI and MLOps.
* Strong proficiency in Python and experience with languages such as C#, Java, Scala, or Go.
* In‑depth knowledge of ML frameworks like TensorFlow, PyTorch, scikit‑learn, and data libraries such as Pandas and NumPy.
* Hands‑on experience with MLOps tools including Kubeflow, MLflow, TensorFlow Extended (TFX), and CI/CD platforms like Azure DevOps, GitLab CI or GitHub Actions.
* Proficiency with cloud platforms (AWS, Azure, GCP), containerization tools (Docker), orchestration systems (Kubernetes), and Infrastructure as Code tools like Terraform or Ansible.
About The Team
The Scalable Core team is at the heart of Siemens Energy’s Software Delivery department, driving the development of foundational technologies and advanced platforms that power scalable and intelligent energy management solutions. Our mission is to empower the rapid growth of Siemens Energy’s digital portfolio by delivering robust, scalable, and secure building blocks through our Software Factory initiative. We focus on creating seamless integrations across IT and OT platforms, developing AI/ML/GenAI platforms for smart solutions, and enhancing developer experiences to ensure high‑quality, compliant software delivery. By fostering innovation and collaboration, the Scalable Core team plays a crucial role in enabling both internal teams and external clients to build and deploy cutting‑edge energy management solutions across cloud, on‑premises, and edge environments.
Rewards/Benefits
* Competitive compensation package
* Work‑life balance: Flexible working time
* Flexible mobile working policy (hybrid)
* Local benefits such as meal allowance, flexible plan and much more
* Self‑driven development framework with insights and resources to develop and grow on technical and soft skills. Continuous learning
* International and cross Business Units
Equal Opportunities
We value equal opportunities and welcome applications from people with disabilities.
#J-18808-Ljbffr