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ML Engineer (Dataiku) (m / f)

ML Engineer (Dataiku) (m / f)

ARHS Group Part of AccentureKonz, DE
Vor 19 Tagen
Stellenbeschreibung

ARHS, part of Accenture, is looking for a Machine Learning Engineer  (m / f) with experience in Dataiku to join the team working on-site with a leading Luxembourgish bank.

You will play a key role in designing, developing, and deploying scalable AI / ML solutions within a modern data infrastructure and contribute to the transformation of critical business processes through intelligent automation and insight.

THE WORK :

  • Design, build, and deploy high-quality ML models and pipelines using Dataiku and other modern frameworks.
  • Migrate AI / ML solutions from local environments to the cloud, ensuring scalability and automation through CI / CD and MLOps best practices.
  • Develop and expose APIs (FastAPI or Flask), optimize performance in production, and implement robust monitoring and observability.
  • Collaborate with cross-functional teams to deliver end-to-end solutions aligned with business needs.
  • Contribute to platform design and infrastructure improvements, supporting real-time and batch AI services.

Onsite at client site : This role requires an onsite presence with our clients and partners to support project delivery and strengthen client relationships.

Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work / life needs.

HERE’S WHAT YOU’LL NEED :

  • Strong background in Python and experience developing ML pipelines and services.
  • Hands-on experience with Dataiku DSS in production environments.
  • Familiarity with cloud-native architectures (preferably Azure) and tools such as Docker, Kubernetes, and Terraform.
  • Experience with building and deploying APIs ( FastAPI, Flask ), and integrating with enterprise data systems.
  • Understanding of MLOps practices : monitoring, logging, model versioning, and CI / CD for ML.
  • Good understanding of data engineering concepts and handling unstructured / streaming data .
  • Excellent communication skills and ability to work closely with business and technical stakeholders.
  • Fluency in English & French .
  • Jobalert für diese Suche erstellen

    Ml Engineer • Konz, DE