MLOps Architect Data&AI - Frankfurt, Deutschland - DXC Technology

    DXC Technology
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    Beschreibung

    Job Description:

    DXC is a leading independent IT service provider. When it comes to AI and Machine Learning projects, DXC is recognized as a strong partner for the whole machine learning lifecycle. DXC's MLOps offering provides first class services that help clients to operationalize and to maintain critical machine learning models and applications.
    MLOps projects are covering three big domains: Consulting, platform development and operationalization of machine learning models at scale. The candidate will join a cross-functional team of enthusiastic innovators as a Machine Learning Architect, working for various clients in the field of industrialized Artificial Intelligence.

    Restrictions:

  • German and English Language Skills C2 or fluent (in written and spoken)
  • Residence in Germany in preferred regions like Frankfurt am Main, Hamburg, Stuttgart
  • Responsibilities:

  • Provide experienced technical consulting and delivers solutions within teams to optimize performance
  • Design and develop architectures, proof-of-concepts and demos in support of presales activities for clients
  • Act as a technical lead in Machine Learning projects, ensuring production scale machine learning applications
  • Contribute as technical expert in presales activities and knowledge sharing in the DXC machine learning community
  • Mandatory skills:

  • Bachelor or master's degree required in computer science or equivalent qualification
  • At least five years of professional experience in a similar position or as software architect
  • Hands-on experience in delivering and leading Data Science and machine learning projects
  • Proven experience in all phases of a Big Data/Analytics project: Concept & design, development, implementation, change and operation
  • Advanced experience in programming (Python, SQL, bash)
  • Experience with Docker, Kubernetes/AKS/EKS/Openshift
  • Experience with DevOps, CI/CD and MLOps automation
  • Experience in cloud architecting and machine learning technologies – Azure/AWS/GCP
  • Experience in designing machine learning solution architectures
  • Strong customer focus, assertiveness, and precise method of operation
  • Ability in understanding of architectural dependencies of technologies in the customer's analytic environments
  • Able to communicate and present internally and externally in a confident manner
  • Highly motivated team player, proven ability to lead teams
  • Nice-to-have skills:

  • Experience in designing data management solution architectures
  • Experience in applying ArchiMate and TOGAF
  • Experience with data versioning, pipeline tools and model repositories, e.g. Kubeflow, dvc, mlflow or cloud equivalents
  • If you believe this role is a good fit for you, we warmly encourage you to apply. We look forward to receiving your application