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    Artificial Intelligence - Louvain, België - Datashift

    Datashift
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    Beschrijving

    We are looking for a Machine Learning Engineer?with a focus on GenAI to strengthen our Artificial Intelligence team at Datashift.


    Do you consider yourself a specialist in machine learning? As a Machine Learning Engineer, you will develop AI solutions to address specific business challenges with a focus on GenAI applications.

    You will do this in collaboration with other domain experts to understand requirements and identify the data required to deliver the expected value.

    Maintaining a scalable and efficient codebase for training, testing, and deploying machine learning models in production environments;

    Deploying production ready ML pipelines in the cloud;

    Staying up to date and experiment with new techniques and algorithms to improve model performance and accuracy;

    Working closely with software engineers and DevSecOps to successfully integrate your models into existing customer environments;

    Coaching junior team members and provide technical guidance and support;

    Acting as tech-lead on a per-project basis.

    At least 3 years of experience and a proven track record of successfully delivering multiple machine learning projects in production;

    Deep expertise in implementing, deploying, and optimizing cloud-based AI solutions at scale;

    Experience or deep interest in GenAI and its applications;

    Proficient in Python and software development practices;

    Experience with cloud solutions (AWS, Azure, ...) Fluent in English. Fluency in Dutch or French is considered a plus.

    A highly entrepreneurial team;

    A no-nonsense working environment with a focus on high quality;

    Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas;

    The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits.

    Are you the machine learning engineer we are looking for?


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