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CEGID, a European leader in cloud business management, is seeking a Senior Machine Learning Engineer to define ML best practices and build and deploy ML model pipelines for their range of products.
About the RoleThis role involves embedding Artificial Intelligence into CEGID's management software products portfolio. You will be working within the AI Factory dedicated to advancing CEGID's management software through AI innovation.
The primary goal is to seamlessly integrate AI features into the product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.
Key Responsibilities- Build and maintain machine learning pipelines to deploy and maintain models in production;
- Implement MLOps and LLMOps concepts to streamline the machine learning lifecycle;
- Develop and maintain scalable, robust, and efficient machine learning infrastructure;
- Collaborate with data science teams to understand model requirements and ensure successful integration into software products;
- Communicate with different stakeholders such as data scientists, software engineers, and cloud architects to ensure models are deployed and monitored in production environments according to best practices;
- Troubleshoot and resolve technical issues related to machine learning models and infrastructure;
- Stay up-to-date with the latest developments in machine learning and artificial intelligence.
