Job: MLOps Consolidation and Deployment Enablement Expert (m/f/d)

Über uns

With over 15 years of experience in the pharmaceutical and chemical industry as well as in biotechnology and medical engineering, we know the key contacts at companies that are recruiting for challenging jobs with real potential. The current high demand for staff has opened up exciting opportunities for dedicated experts who want to develop professionally and to further their careers. As recruitment specialists with an international network of contacts, we can offer you decisive advantages – completely free of charge. Register with us and reap the benefits of interesting job offers that match your skills and experience.

Mein Arbeitgeber

• The client Roche Diagnostics GmbH in Penzberg is one of the largest biotechnology centers in Europe, offering not only an excellent market position but also a exciting working environment

Aufgaben

• Design and standardize deployment pipelines for machine learning models from a centralized model registry
• Develop robust, scalable, and secure model deployment processes across multiple environments
• Integrate deployment targets such as Orbital Pipelines and Kubeflow/KServe
• Build and maintain wrappers, SDK extensions, and configuration templates for various ML frameworks
• Ensure compatibility of models across frameworks like TensorFlow, PyTorch, and Scikit-learn
• Collaborate with MLOps teams and stakeholders to define best practices and standards
• Implement monitoring hooks, endpoint health checks, and model serving configurations
• Troubleshoot deployment issues, latency problems, and framework incompatibilities
• Create detailed technical documentation, runbooks, and training materials
• Support knowledge transfer and enable long-term ownership within the internal MLOps team

Profil

• Bachelor’s or Master’s degree in a relevant field
• Experience in MLOps, ML engineering, or related domains
• Hands-on experience with model registries (preferably Weights & Biases)
• Advanced proficiency in Python and familiarity with shell scripting
• Strong expertise in Docker and container orchestration (preferably Kubernetes)
• Proven experience in building high-availability model serving solutions (REST APIs, gRPC)
• Experience with deployment frameworks such as Kubeflow, KServe, or similar tools
• Solid knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD) and pipeline automation
• Experience working with cloud environments (preferably AWS)
• Familiarity with infrastructure-as-code concepts (e.g., Terraform) and scalable system design
  

Wir bieten

• 30 days leave per year
• A highly motivated team and an open way of communication
• A very renowned company
• We will give you valuable tips and feedback on your application documents and interviews
• We will create a candidate profile containing your strengths and potential and thus increase your chance of being placed in a position
• You will work in an international environment

Ihr Kontakt

Referenznummer
882211/1

Kontakt aufnehmen
Telefon:+ 49 621 1788-4297
E-Mail: positionen@hays.de

Anstellungsart
Anstellung bei der Hays Professional Solutions GmbH