ML Engineer (Dataiku) (mf)
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Job Location:
Luxembourg - Luxembourg
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
HERES WHAT YOULL 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Engineering Support
- MAC
- Hydraulic
- General Services
- Ado
- Health Education
About Company
Ar?s is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, business intelligence and infrastructure services. We are composed of 17 entities across 9 countries that ... View more
