Data Scientist (GenAI)
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Participating in the design and development of AI solutions for challenging projects Building production level ML/AI solutions, with solid software engineering and ML/AI principles MLOps Automated deployment and monitoring (models and infrastructure) Data analysis (data cleaning, variable transformation, etc.) Developing and training ML/AI models Putting AI models into production.
This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment
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