Senior AI Machine Learning Engineer - HQ Brussels

As an AI Machine Learning Engineer you promote the adoption of best standards in industrial code development across the Machine Learning and AI community. You do so by developing ML pipelines that are production-ready by design or by integrating existing ML solutions into industrial pipelines.

You participate in the development, deployment and monitoring of AI services, which means you contribute to data quality checks, data flow design, the design of the models themselves and their overall integration into the production environment.

AND IN DETAIL

• You facilitate the communication between Data Scientists 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.
• You work 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 business requirements (real-time responses, processing volumetry …).
• You contribute to the automation of the different elements of the ML pipeline in order to integrate and deploy them in the production environment (e.g. building Docker/VM images, prepare unitary, regression and integration tests …).
• You support Data Scientists on the usage of the existing industrial solutions available to build and monitor AI services (i.e. the CI/CD tools).
• You support IT Production on the parameterization of the target environment.
• You ensure that the model runs without errors, is retrained if needed (incl. automatically) and is monitored both from the IT and the business perspective.

Do you have experience in Time management?, * A profound knowledge of English is mandatory. Knowledge of Dutch and/or French is a plus.

• You have at least 3 years of relevant experience with:

• Python programming language, including advanced concepts like async programming, and performance optimization
• Advanced knowledge of Linux platform, including system administration and troubleshooting
• Containerization/virtualization using Docker, Kubernetes
• AI platforms & IDEs
• CI/CD pipelines using tools like Jenkins, GitLab CI/CD
• Code, model & data versioning
• Usage of Python package managing tools and experience in dependency management
• PostgreSQL

• It is preferable you have experience with:

• Integration using different technologies and infra components
• Model compression techniques
• ELT/ETL tools
• Big data tools (Spark)
• Data flow processing
• Data visualization tools

• You have a knowledge of Agile methodology.
• You have strong communication skills, oral and written. You are open to other's opinions, ideas and feedback.
• You work results driven, have attention to detail and you are a real problem solver. You can think out of the box and outside existing processes and frameworks.
• You proactively invest time in continuous learning and knowledge improvement.
• You work with energy and empowerment to deliver great results and a large contribution to the company's success.

We strongly believe in the positive impact the financial sector can have on the world. BNP Paribas Fortis offers sustainable and responsible investment products and solutions, and encourages social entrepreneurship. Together with our customers, we work towards a better future every day.