BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Vollzeitnur vor OrtSenior
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
VIVisium SA
Lead MLOps Engineer (GCP)(m/w/x)
München, Zürich
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and maintaining scalable ML production systems and data pipelines on GCP. 6+ years software engineering experience with strong architecture and system design skills required. Yearly education and sport budgets.
Anforderungen
- 6+ years software engineering experience
- Very strong programming skills
- Proven experience building production systems
- Solid background in software architecture
- Solid background in system design
- Solid background in distributed systems
- Experience applying engineering best practices
- Hands-on experience with cloud platforms
- Deep expertise in Google Cloud Platform (GCP)
- Experience with CI/CD
- Experience with infrastructure as code
- Experience with production monitoring
- Strong communication skills
- Strong stakeholder management skills
- Ability to work on-site in Winterthur weekly
- Availability to travel if based outside of CH
Aufgaben
- Design, develop, and maintain scalable software systems for ML
- Own production ML services end-to-end
- Apply software engineering best practices
- Build and maintain APIs and services for ML systems
- Build and maintain data pipelines for ML systems
- Implement MLOps workflows with an engineering mindset
- Design and operate cloud-native systems on GCP
- Collaborate with ML engineers and data scientists
- Integrate models into production systems
- Communicate clearly with stakeholders
- Contribute to technical decision-making
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Google Cloud Platform (GCP)
- CI/CD
- infrastructure as code
- production monitoring
Benefits
Sonstige Zulagen
- Yearly education budget
Gesundheits- & Fitnessangebote
- Yearly sport budget
Lockere Unternehmenskultur
- Flexible working culture
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Visium SA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Intrinsic
Senior Software Engineer, ML Ops & Infrastructure(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Cobrainer GmbH
AI/ML Platform Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen - Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
MLOps Engineer - Implementation(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen
VIVisium SA
Lead MLOps Engineer (GCP)(m/w/x)
München, Zürich
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and maintaining scalable ML production systems and data pipelines on GCP. 6+ years software engineering experience with strong architecture and system design skills required. Yearly education and sport budgets.
Anforderungen
- 6+ years software engineering experience
- Very strong programming skills
- Proven experience building production systems
- Solid background in software architecture
- Solid background in system design
- Solid background in distributed systems
- Experience applying engineering best practices
- Hands-on experience with cloud platforms
- Deep expertise in Google Cloud Platform (GCP)
- Experience with CI/CD
- Experience with infrastructure as code
- Experience with production monitoring
- Strong communication skills
- Strong stakeholder management skills
- Ability to work on-site in Winterthur weekly
- Availability to travel if based outside of CH
Aufgaben
- Design, develop, and maintain scalable software systems for ML
- Own production ML services end-to-end
- Apply software engineering best practices
- Build and maintain APIs and services for ML systems
- Build and maintain data pipelines for ML systems
- Implement MLOps workflows with an engineering mindset
- Design and operate cloud-native systems on GCP
- Collaborate with ML engineers and data scientists
- Integrate models into production systems
- Communicate clearly with stakeholders
- Contribute to technical decision-making
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Google Cloud Platform (GCP)
- CI/CD
- infrastructure as code
- production monitoring
Benefits
Sonstige Zulagen
- Yearly education budget
Gesundheits- & Fitnessangebote
- Yearly sport budget
Lockere Unternehmenskultur
- Flexible working culture
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Visium SA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Visium SA
Branche
Consulting
Beschreibung
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
Noch nicht perfekt?
- BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Intrinsic
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Vollzeitnur vor OrtSeniorMünchen - Cobrainer GmbH
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Vollzeitnur vor OrtBerufserfahrenMünchen - Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
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Vollzeitnur vor OrtBerufserfahrenMünchen