Machine Learning Performance Engineer

Job Type: Permanent / Full-Time Working Hours: 36-40 hours per week Working Model: Hybrid (50% on-site, 50% remote) Machine Learning Engineers promote the adoption of best standards in industrial code development across the ML&AI community. They do so by developing ML pipelines that are production-ready by design or by integrating existing ML solutions into industrial pipelines. They participate in the development, deployment and monitoring of AI services, which means they contribute to data quality checks, data flow design, the design of the models themselves and their overall integration into the production environment. ML Engineers are meant to facilitate the communication between AI & Analytics teams and IT production with regards to the deployment of ML models, ensuring that models put in production are equipped with the appropriate data pipelines and monitoring. As a Machine Learning Engineer, you will: Collaborate with Data Scientists to design and develop ML solutions with

production constraints in mind. Select appropriate infrastructure, serving models, and data ingestion approaches to meet business requirements such as real-time processing and high data volumes. Unit, regression, and integration testing Support Data Scientists in using existing industrial AI platforms and CI/CD tools for building and monitoring AI services. Work closely with IT Production teams to configure and optimize target production environments. Ensure proper data quality checks, data flow design, and model integration within production systems. Minimum 4 years of relevant experience as an ML Engineer or related role Strong experience in Python (advanced level) Experience with containerization and virtualization technologies Code, model, and data versioning Solid understanding of Agile methodologies Experience with system integration across distributed systems, mainframe, and infrastructure components Knowledge of model compression techniques Exposure to Big Data technologies (e.g., Knowledge of data flow / stream processing Familiarity with data visualization tools You will join Capgemini Financial Services Benelux , working alongside passionate and skilled colleagues toward shared goals. Opportunities to work at the international forefront of technology It starts on day one. Working for Capgemini also means working in the international heart of innovation. The premier league of technology.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.