Machine Learning Engineer

About NORRIQ NORRIQ is an international group based in Denmark and Belgium, comprising over 350 consultants dedicated to unlocking the full business potential of companies through technology and digital transformation. We have a specialized Financial Services practice that is experiencing rapid growth. Over 100 consultants focus exclusively on the...

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a...

Design, build, and deploy machine learning models into production environments Develop and maintain scalable ML pipelines for training, inference, and monitoring Collaborate with data scientists to translate models into robust, production-ready solutions Optimize model performance, latency, and reliability at scale Implement automated testing,...

Design, build, and deploy machine learning models into production environments Develop and maintain scalable ML pipelines for training, inference, and monitoring Collaborate with data scientists to translate models into robust, production-ready solutions Optimize model performance, latency, and reliability at scale Implement automated testing,...

Job Description – Machine Learning Engineer Mission & Context The Machine Learning Engineer plays a key role in enabling the industrialization of Machine Learning and AI solutions within the enterprise. The mission of the role is to promote and apply best practices in production‑ready ML development , ensuring that AI solutions are robust, scalable,...

6–8 years of AI/ML/Advanced Analytics experience , with strong hands-on experience deploying and maintaining AI/ML models and services in production. 5+ years of Python , with strong experience in pandas, scikit-learn, and XGBoost . Microsoft Azure & Azure Machine Learning (Azure ML) – hands-on experience required. End-to-end AI/ML deployment –...

Senior MLOps Engineer — Data PlatformLocation: Brussels, hybridLevel: SeniorLanguages: English required; French a plusAbout the TeamWe're building a data mesh on Azure and Databricks: domain teams own their data as products, and the central platform team gives them the paved road. We have an MVP data platform live with pilot teams onboarded. ML is the next...

Project description:Function description: ML Engineers contribute to Machine Learning projects by: • Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (e.g. data ingestion scheme, API synchronicity, …) to address the...

6–8 years of AI/ML/Advanced Analytics experience, with strong hands-on experience deploying and maintaining AI/ML models and services in production. 5+ years of Python, with strong experience in pandas, scikit-learn, and XGBoost. Microsoft Azure & Azure Machine Learning (Azure ML) – hands-on experience required. End-to-end AI/ML deployment –...