ML Engineer (Dataiku) (m/f)
Published on 21/07/2025
ARHS Group Part of Accenture
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.
