Responsibilities:

• Translate business needs and requirements into effective machine learning solutions.
• Clearly communicate technical concepts and results to stakeholders who may not have a technical background.
• Collaborate with internal clients to uncover new opportunities for machine learning applications.
• Ensure machine learning models are in alignment with the bank’s overall strategy and objectives.
• Partner with Application Development teams to deploy and maintain Machine Learning models in production environments.
• Keep abreast of the latest advancements in machine learning and artificial intelligence to enhance application performance and benefit the team. 

Education Qualification:

• Master’s degree in computer science, mathematics, statistics, or a related field.

Required Skills:

• Strong programming skills in Python, SQL, statistical modeling, and data analysis techniques.
• Experience with machine learning frameworks such as Tensorflow, PyTorch, or scikit-learn.
• Experience in developing real-world machine learning projects.
• Strong problem-solving and analytical skills.
• Excellent communication (French and English) and collaboration skills.
• Strong work ethic and ability to handle confidential information.

Nice-to-have Qualifications:

• Experience in deploying models to production.
• Experience with CI/CD pipelines (GIT, Jenkins, etc.) and MLOps (MLFlow).
• Experience with containerization techniques (Docker & Kubernetes).
• Experience with mentoring junior team members.