Machine Learning Officer - Senior

Employment: Full-time Experience level: Mid-Senior Level Job Description Job description: 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 hand-in-hand 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: 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"                                                                                 Main Tasks:  Develop End to End Product Lifecycle                                          Implement and assist the deployment and maintenance of models and software                    Qualifications Technical Skills: 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, …)                                          Knowledge of NLP techniques                                 Language Skills: Fluent English French and Portuguese are a plus Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge.                                         Knowledge of databases and associated tools (SQL and NoSQL)                                          Familiarity with continuous integration tools (pref. Jenkins, Git)                                          Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)                                             Soft Skills: Ability to think abstractly and creatively                                       Excellent communication and interpersonal skills                                 Flexibility: ability to work in a changing environment    Education Engineer School/master’s degree from university with a specialization in mathematics, statistics, computer science, data science or any engineering related field Although not strictly required a PhD on data-science, engineering or related fields is an advantage                  Company Description Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.