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AI & ML Data Engineer


Location: Brusselsbr/ Languages: Englishbr/ Employment Type: Freelancebr/ Desired Start Date: ASAPbr/ br/ h2Context of the mission /h2 br/ We are looking for a passionate and experienced AI ML Data Engineer to join our growing team of experts. If you're excited about building robust data science platforms, designing complex data pipelines, and contributing to impactful use cases in the railway sector — this is your opportunitybr/ br/ h2Responsibilities /h2 br/ As AI ML Data Engineer, you will join the advanced analytics team. We are a team of data scientists and data engineers working on advanced analytics and AI projects within different domains (punctuality, stations, HR, security, ...)br/ br/ Within this team, your role will be to:br/ ul liCollaborate with our infrastructure team to setup, improve and maintain scalable data science platforms on Azure /li liDesign and implement complex data ingestion pipelines from diverse sources /li liCollaborate with data scientists to operationalize Machine Learning models /li liPut Large Language Models (LLMs) into production for a variety of use cases /li liWork on strategic and operational use cases that directly impact railway services /li liCollaborate with data governance, security, and performance teams /li liActively contribute to a collaborative and innovative team culture /li /ul br/ h2Conformity criterium /h2 ul liAt least 5 years of experience in data engineering and Machine Learning operations /li liProven track record of setting up data science platforms for organizations with over 1,000 employees /li liMinimum of 5 years of experience with cloud services for advanced data analytics. We use Azure /li liProficiency in PySpark, Python and SQL demonstrated through at least 3 successful projects /li liExperience in setting up continuous integration/continuous deployment (CI/CD) infrastructure as code, and DevOps practices, with at least 3 implemented projects /li liExperience in setting up infrastructure as code with TerraForm or similar /li liExperience in maintaining data pipelines for large organizations. /li liFluent in English, with professional proficiency in both written and spoken communication. /li /ul br/ h2Evaluation criterium /h2 ul liAbility to setup a data platform for advanced analytics purposes in large organization /li liExperience in bringing data science and Gen AI models in production and ensure run and maintenance of those /li liKnowledge in coding for in afford mentioned programs /li liExperience in setting up infrastructure as code /li liAbility to contribute on the development of data science use cases /li liCommunication skills /li /ul

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