Siemens Energy
"We energize society" - „Wir versorgen die Gesellschaft mit Energie“, indem wir unsere Kunden unterstützen beim Übergang in eine nachhaltigere Welt. Basis dafür sind unsere innovativen Technologien und unsere Fähigkeit, Ideen in die Tat umzusetzen. Mit fast 100.000 Mitarbeitern weltweit gestalten wir die Energiesysteme von heute und morgen.
Über die Aufgabe
- Land: Deutschland
- Bundesland/Kanton/Bezirk: Bayern
- Stadt: Erlangen
- Land: Deutschland
- Bundesland/Kanton/Bezirk: Nordrhein-Westfalen
- Stadt: Muelheim an der Ruhr
- Land: Spanien
- Land: Portugal
A Snapshot of Your Day
As a Software Engineer within the Scalable Core team, you will collaborate with a diverse group of skilled engineers to design, develop, and deploy innovative 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 partners to manage ETL processes and ensure seamless data integration within ML pipelines.
- Use 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.
- Longstanding experience as a software engineer, with several 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
At Siemens Energy, we are more than just an energy technology company. With ~100.00 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our distributed team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
- In addition to an attractive and competitive compensation package, you can expect a generous employer-funded retirement plan.
- We also offer the opportunity to become a shareholder in Siemens Energy at very favorable employee rates.
- Under our motto #BetterTogether, we provide our employees with the flexibility to work remotely or in the office. Our workspaces are designed to inspire collaboration and creativity, ensuring a fulfilling work environment.
- We are deeply committed to the professional and personal development of our employees.
- You will have the opportunity to learn and grow at your own pace, with access to a variety of appealing programs and initiatives.
- To support work-life balance, we offer a diverse range of options, including flexible working hours, childcare facilities at many locations, opportunities for part-time work, and even sabbaticals.