Engineer

Title: Machine Learning Engineer Details: Understand the business needs and requirements and translate them into Machine Learning solutions. • Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner. • Collaborate with internal clients to identify new opportunities for Machine Learning applications and models. • Ensure that Machine Learning Models are aligned with the bank’s overall strategy and goals. • Work with Application Development teams to deploy and support Machine Learning models in production environments. • Stay up to date with latest development in Machine Learning and AI and apply this knowledge to first improve the performances of applications (current & past), and second to the benefits of the team. Minimum Required Qualifications • Master’s degree in computer science, mathematics, statistics, or a related field. • Strong programming skills in languages such as Python, database manipulation (SQL), statistical modeling, and data analysis techniques. • Experience with machine learning frameworks such as Tensorflow, PyTorch, or scikit-learn. • Experience in developing and working on real-world machine learning projects. • Strong problem-solving and analytical skills. • Excellent communication (both French and English) and collaboration skills. • Very strong work ethic and ability to deal with confidential information. Nice-to-have Qualifications • Experience in deploying models to production. • Experience with CI/CD pipelines (GIT, Jenkins, …) • Experience with containerization techniques (Docker & Kubernetes). • Experience with mentoring junior team members.