JOB DESCRIPTION:

Responsibilities:

The Machine Learning (ML) Expert will:

• Understand the business needs and requirements and translate them into ML 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 ML applications and models.

• Ensure that ML Models are aligned with the bank’s overall strategy and goals.

• Work with Application Development teams to deploy and support ML models in production environments.

• Stay up to date with latest development in ML 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, …) and MLOps (MLFlow).

• Experience with containerization techniques (Docker & Kubernetes).

• Experience with mentoring junior team members .

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.