5 English-speaking jobs in Heilbronn
Technology Owner Microsoft Copilot Ecosystem (all genders)
- Roland Berger Holding GmbH & Co. KGaA
- heilbronn
- June 29
Roland Berger is one of the worlds leading strategy consultancies with a wide-ranging service portfolio for all relevant industries and business functions. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees.
AWS Consultant
- Heilbronn
- June 21
Join a high-impact team working on cutting-edge cloud solutions for clients who don’t settle for average. We're looking for someone who lives and breathes AWS — someone who thrives in a fast-paced, modern DevOps environment and wants to architect real change. What’s the role? You’ll design, implement, and optimise scalable cloud infrastructure using AWS services.
AWS Consultant
- Wolf Jansen
- Heilbronn
- June 21
Join a high-impact team working on cutting-edge cloud solutions for clients who don’t settle for average. We're looking for someone who lives and breathes AWS — someone who thrives in a fast-paced, modern DevOps environment and wants to architect real change. What’s the role? You’ll design, implement, and optimise scalable cloud infrastructure using AWS services.
ML Ops Engineer (m/f/d) - System Engineering / Admin, Ingenieur
- Get in Engineering
- Heilbronn
- June 16
Your tasks: Collaborate with data engineers, AI engineers, and IT teams to integrate DevOps practices along the whole data lifecycle Build and maintain CI/CD pipelines using modern frameworks Ensure seamless integration and optimal performance of machine learning models Monitor and maintain ML models in production environments Ensure governance of the deployed models Stay up-to-date with the lates
ML Ops Engineer (m/f/d) - System Engineering / Admin, Ingenieur
- ebm-papst
- Heilbronn
- June 16
Your tasks: Collaborate with data engineers, AI engineers, and IT teams to integrate DevOps practices along the whole data lifecycle Build and maintain CI/CD pipelines using modern frameworks Ensure seamless integration and optimal performance of machine learning models Monitor and maintain ML models in production environments Ensure governance of the deployed models Stay up-to-date with the lates
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