Machine Learning Expert
7 days ago
Machine Learning Expert - CIB - Change & Solutions Americas - Analytics Lab
Location:
Remote or Hybrid
Duration:
6-9 Months
Business Overview:
Change & Solutions is the team within APN Consulting Americas in charge of facilitating the Transformation of the APN Platform.
We strive to provide comprehensive support to our internal clients, from initial consultation to final execution.
The Analytics Lab is the center of excellence in AI/Machine Learning for Change & Solutions with offices in New York and Montreal.
We work closely with our internal clients to provide innovative and tailor-made AI solutions to improve their operations and reduce their risks.
We are part of Analytics Consulting, a global team of international experts that builds AI solutions for APN Consulting.
We collaborate with people from Paris, Lisbon, London, and Warsaw.
If you are a bright and passionate Machine Learning expert looking for a great opportunity to advance your career, we have a perfect job for you We are looking for a Machine Learning expert to join our team We offer excellent development prospects and the ability to develop your skills to the highest level in our team.
Responsibilities:
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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