Senior Data Scientist/MLOps

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Requirements:

• More than 5 years of experience in AI / Machine Learning / Computer Science.
• Ability to build an end-to-end software product that incorporates a machine learning component.
• Knowledge in applied computer vision.
• Strong skills in Python and reasonable understanding of SQL.
• Experience in building ML/deep learning pipelines and models.
• Experience implementing production-ready ML models with current ML/Deep learning techniques.
• Mandatory MLOps experience.
• Experience in projects involving NLP/Gen IA.
• International and presales experience is valuable.
• English is mandatory.

Responsibilities:

• 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.
• Automating deployment and monitoring of models and infrastructure using MLOps.
• Conducting data analysis, including data cleaning and variable transformation.
• Developing and training ML models.
• Putting AI models into production, involving parallelizing, optimizing, tuning, and testing for deployment.