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Machine Learning Engineer (Deployment and Optimization Specialist), Brussels
Client:
Location:
Job Category:
Other
EU work permit required:
Yes
Job Reference:
3a708fdba6ee
Job Views:
6
Posted:
23.01.2025
Expiry Date:
09.03.2025
Job Description:
Infoplus Technologies UK Limited is a global IT services company focusing on Enterprise solutions and integration services consulting (SAP/Oracle), MRO Master Data Management, software development, product solutions for education segment, and IT consulting services offering outsourcing solutions to enterprises worldwide. Since inception in 2000, Infoplus has focused on a principle to maximize output for its clients and partners through cost-savings, enhanced productivity and quality. Headquartered in the United Kingdom, we help enterprises globally to plan their investments in technology, design and implement solutions that drive competitive advantage, and deliver or manage critical applications to improve business performance.
The Role
Your responsibilities:
* Develop and maintain a code base that produces ML models for different business units.
* Refactor and simplify complexity continuously (e.g., batch to stream processing).
* Improve data flow, establish new data sources and deployment.
* Troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability.
* Continuously optimize our systems for performance and cost-effectiveness.
* Document technical specifications, procedures, and outcomes.
* Use Azure DevOps for CI/CD, task tracking, version control, and other DevOps practices.
Ideal Profile
We are looking for you if you have:
* Very good knowledge of Spark and Python.
* Good understanding of ML models deployment and consumption patterns.
* Ability to refactor, maintain, and debug existing machine learning solutions.
* Ability to maintain and improve templates for productionizing ML solutions.
* Experience in building containerized components.
* Experience in deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD).
* Problem-solving skills, being able to troubleshoot and optimize ML models.
* Great communication skills and a team player.
* Interest in banking and banking products.
* Experience working in international, cross-functional teams.
* Knowledge in Airflow, GCP (Dataproc, BigQuery, GCS), Azure pipelines.
What's on Offer?
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