Die KI-Suchmaschine für Jobs
Machine Learning Engineer(m/w/x)
Beschreibung
As the engineering bridge for the research team, you will build robust MLOps pipelines and transform experimental code into high-performance software to power the next generation of intelligent products.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •University degree in Computer Science, Software Engineering, or related field
- •Professional experience in building production-grade software systems
- •Deep proficiency in Python
- •Advocacy for clean code, design patterns, and modular architecture
- •Experience with C++ or C# (Advantageous)
- •DevOps mindset and hands-on experience in Docker and Kubernetes
- •Ability to manage containerized workloads and scale services
- •Skill in automating infrastructure using Terraform, Ansible, or Bicep
- •Track record of designing and maintaining CI/CD pipelines
- •Familiarity with MLflow, Kubeflow, or DVC
- •Enjoyment of translating research code into stable products
- •Strong communication and mentoring skills
- •Structured approach to work and project leadership experience
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Design and maintain robust MLOps infrastructure
- •Transform experimental research code into high-performance software
- •Build automated pipelines for model deployment
- •Manage computing environments using Terraform and Ansible
- •Define engineering standards for version control and containerization
- •Implement monitoring solutions for model performance and health
- •Consult with scientists to optimize research workflows
- •Deploy ML models across cloud, edge, and on-premise environments
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
- Carl Zeiss AGVollzeitnur vor OrtSeniorOberkochen
- Carl Zeiss AG
Internship in Machine Learning Research(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - Carl Zeiss SMT GmbH
Lead AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorOberkochen - Carl Zeiss AG
Cloud DevOps Engineer Digital Integration Platform(m/w/x)
Vollzeitnur vor OrtSeniorOberkochen - Carl Zeiss SMT GmbH
Softwareentwickler für Produktansteuerungen(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeOberkochen
Machine Learning Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
As the engineering bridge for the research team, you will build robust MLOps pipelines and transform experimental code into high-performance software to power the next generation of intelligent products.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •University degree in Computer Science, Software Engineering, or related field
- •Professional experience in building production-grade software systems
- •Deep proficiency in Python
- •Advocacy for clean code, design patterns, and modular architecture
- •Experience with C++ or C# (Advantageous)
- •DevOps mindset and hands-on experience in Docker and Kubernetes
- •Ability to manage containerized workloads and scale services
- •Skill in automating infrastructure using Terraform, Ansible, or Bicep
- •Track record of designing and maintaining CI/CD pipelines
- •Familiarity with MLflow, Kubeflow, or DVC
- •Enjoyment of translating research code into stable products
- •Strong communication and mentoring skills
- •Structured approach to work and project leadership experience
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Design and maintain robust MLOps infrastructure
- •Transform experimental research code into high-performance software
- •Build automated pipelines for model deployment
- •Manage computing environments using Terraform and Ansible
- •Define engineering standards for version control and containerization
- •Implement monitoring solutions for model performance and health
- •Consult with scientists to optimize research workflows
- •Deploy ML models across cloud, edge, and on-premise environments
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
Carl Zeiss AG
Branche
Research
Beschreibung
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
- Carl Zeiss AG
Lead DevOps Engineer(m/w/x)
Vollzeitnur vor OrtSeniorOberkochen - Carl Zeiss AG
Internship in Machine Learning Research(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - Carl Zeiss SMT GmbH
Lead AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorOberkochen - Carl Zeiss AG
Cloud DevOps Engineer Digital Integration Platform(m/w/x)
Vollzeitnur vor OrtSeniorOberkochen - Carl Zeiss SMT GmbH
Softwareentwickler für Produktansteuerungen(m/w/x)
Vollzeit/Teilzeitnur vor OrtKeine AngabeOberkochen