Job Description

A Snapshot of Your Day

Siemens Energy is seeking a highly skilled and experienced Senior MLOps Engineer to join the Digital Core function and play a key role in shaping the data architecture and strategy within the organization.

During your day you focus in close collaboration with your stakeholders on developments around our Machine Learning environment. You partner not only with business stakeholders but work very closely with other teams within the organization to define priorities for backlog items and work on those, consult our stakeholders on AI ML to build best in class solutions, support test automation, build CI CD pipelines and work on PoCs/MVPs using different hyperscale offerings.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation. Honestly, we don't have all the answers.

Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can't do it alone. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture. How You'll Make an Impact

• Onboard new AI ML (Artificial Intelligence & Machine Learning) use cases in AWS / Google Cloud Platform.
• Define the right MLOps architecture for AWS/ GCP/ Cloud Agnostic.
• Experience in Cross Account Model Deployment, monitoring, sharing
• Very strong experience in working with AI ML services (AWS Sagemaker, GCP AutoML, Vertex AI etc.)
• Develop PoC's / MVP's using AWS / GCP and other MLOps services.
• Hands on experience in GitLab CI for CI CD and DevOps implementations
• You need to develop Infrastructure as code by writing AWS CDK scripts.
• Consultancy to the stakeholders on AI ML (Artificial Intelligence & Machine Learning) and help build right solutions.
• Support Test automation and deployment of the code base to the production environment.

What You Bring

• Bachelor's degree in one of the following fields: Computer science, mathematics, engineering, physics, or related. A Master's degree is considered a plus.
• Preferably AWS or GCP Certifications in ML AI area.
• Around 10 years of hands on experience with ML / AI development and Operations.
• Deep understanding with ML Life Cycle: Data Preprocessing, Training Pipeline, Inference Pipeline, Model monitoring, Post Processing as well as understanding of the MLOps. E.g. bringing machine learning models to production, maintaining and monitoring them.
• Experience in developing, implementing, maintaining, and operating CI CD (Continuous Integration and Continuous Delivery) pipeline following the DevOps process.
• Very good knowledge of Python coding and Linux administration.
• Experience in working with JIRA and Confluence and Agile delivery model.
• You are result-driven as well as excellent interpersonal, communication, and collaborative skills
• You are fluent in both spoken and written English.
About the Team

The Data Platforms and Services organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization based on a robust end-to-end data platform ecosystem. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.

Our global 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.

https://www.siemens-energy.com/employeevideo Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs

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