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Inetum is a European leader in digital services with a team of 28,000 consultants and specialists. The role involves developing and deploying end-to-end machine learning and AI solutions, supporting in-house applications, and collaborating closely with clients and teams. The company strives to contribute to innovation and growth with proximity and flexibility, generating sales of 2.5 billion euros in 2023.
Job Responsibility:
Develop End to End Product Lifecycle: Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working together with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software’s: Follow industry best practices to implement and scale out the developed solutions into production grade software
Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies and tools
Requirements:
Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis
Knowledge of at least one ML development stack (e.g., scikit-learn, keras, …)
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