Qualifications
RequirementsDesired ProfileEngineering degree or equivalent (Computer Science, Data, AI, Applied Mathematics)At least 5 years of experience in Data Science / Machine Learning EngineeringProven experience in deploying models in complex environmentsAbility to collaborate effectively with technical and business teamsTechnical SkillsMachine Learning: regression, classification, anomaly detection, time series analysisExperience in Computer Vision / Deep Learning (a strong asset)Proficiency in Python and associated libraries: Pandas, NumPy, Scikit-learn, PyTorch and/or TensorFlowMLOps: pipelines, versioning, CI/CD, model monitoringModel deployment (API, batch, streaming)Containers: Docker / PodmanOrchestration: Kubernetes / OpenShiftCloud environments, ideally AWS (S3, SageMaker, etc.)Good development practices: Git, testing, continuous integrationAssetsExperience in an industrial or production environmentHandling of data from sensors or real-time systemsKnowledge of data architectures (data lake, streaming)Additional tools: Kafka, MQTT, Snowflake, DataikuMonitoring tools (Grafana, Prometheus, CloudWatch)
About the job
Are you ready for a change and new challenges? Do you want to elevate your career as an AI Data Scientist? Join our Local Managed Staffing team at NRB!
As a leading ICT group in Belgium, NRB offers a wide range of IT services, addressing all your IT needs, including Infrastructure & Cloud, Software Development, and Consultancy & Managed Staffing.
In the context of developing Manufacturing 4.0 solutions, you will join a multidisciplinary team focused on integrating advanced technologies (data, artificial intelligence, automation) at the heart of demanding production environments.
You will act as a bridge between the industrial, IT, and data teams to design and implement innovative data-driven solutions.
About NRB
NRB is a premier ICT service provider in Belgium, dedicated to delivering innovative IT solutions across various domains including Infrastructure, Cloud, Software Development, and Managed Staffing. Our mission is to meet all IT needs with excellence and professionalism.