Machine Learning Engineer – Generative AI > Joboolo BE :
Company : Proximus Location : Brussels Brussels From : Talent BE
Role descriptionAs an AI engineer, you will play a key role in developing end-to-end solutions for AI use cases.
By taking up a use case right from the start you will help business define and scope the problem, pick the right AI solution and technology as well as ensure implementation, integration and deployment of your solution to production.
You will do so while ensuring that our internal governance processes and best practices are respected.
You will also collaborate with other team members in knowledge sharing as well as continuously improving our way of working.Responsibilities Develop AI applications using state-of-the-art (Gen)AI technologyTranslate business requests into AI applications.Identify high-value use cases through data exploration and visualization.Pilot prototypes in production processes to demonstrate their value.Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems.Present your results in a clear manner and discuss them with multi-functional project teams.Work in close collaboration with business experts ( for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT ( for ETL, deployment to production, etc.) and with other AI engineers in the team ( for knowledge sharing).Degree & Experience PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Statistics, Mathematics, etc.)2+ years of relevant work experience in a business environmentTechnical skills Hands-on experience with Python and its AI ecosystem.Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ..
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)Strong knowledge of state-of-the-art AI and statistical methods.Proven proficiency in the end-to-end AI project life cycle, including:
Translating business requests into data requirements.Identifying high-value use cases through data exploration and visualization.Developing AI solutions (incl.
feature engineering, model fitting, etc.).Deploying scalable AI applications to production.
Any experience with following elements is a big plus:
MLOps practices, orchestration with Airflow, Gitlab CI/CD, etc.Containerized deployment of ML products – docker, podman, Kubernetes Any experience with cloud technology (AWS, Azure) is a big plusAttitudes/Behavior Passionate about AI and a constant learnerResult-oriented and highly proficient in transforming data into actionable insights that create business valueTeam player with strong communication and presentation skillsAble to manage AI projects in an autonomous way and drive collaboration with domain experts, data engineers and other AI engineersKnowledge in the field of telecommunications is a plus LanguagesNative in Dutch and/or French + Fluent in English Proximus BrusselsBrussels
