Machine learning engineer
Hybrid role
Montreal, QC
Months contract
The Machine Learning (Client) Expert will :
Understand the business needs and requirements and translate them into Client 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 Client applications and models.
- Ensure that Client Models are aligned with the bank’s overall strategy and goals.
- Work with Application Development teams to deploy and support Client models in production environments.
- Stay up to date with latest development in Client 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.
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