Vice President - Senior Machine Learning Engineer

BNP Paribas•Jersey City, NJ

56d

About The Position

Change & Solutions is the team within BNP Americas in charge of facilitating the Transformation of the BNPP Platform. Strongly connected to our internal clients, we strive in providing comprehensive support to their transformative journey, from the initial consultation to the final execution. The Analytics Lab is the center of excellence in AI/Machine Learning within Change & Solutions serving the Americas region. The team is located both in Jersey City and Montreal, working closely with our internal clients to provide innovative and tailor-made AI solutions to improve our client knowledge, operations and reduce risks. The Lab is also proudly part of Analytics Consulting, a global team of international experts that builds AI solutions for CIB. Beyond the presence in Americas, you will have the chance to collaborate and participate in projects with people from Paris, Lisbon and London. If you are a bright and passionate AI expert looking for a great opportunity to advance your career, if you are a team player who strives for engineering and technical excellence and enjoys in bringing innovation in a fast-paced environment, we have a perfect job for you! We are looking for a Senior Machine Learning Engineer to join our dream team! We offer excellent development prospects and the ability to develop your skills to the highest level in our team.

Requirements

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 and collaboration skills.
Very strong work ethic and ability to deal with confidential information.

Nice To Haves

Experience in deploying models to production.
Experience with CI/CD pipelines (GIT, Jenkins, …), ML/LLMOps (MLFlow)
Experience with containerization techniques (Docker & Kubernetes).
Experience with mentoring junior team members.
Experience with Generative AI, Large Language Models and /or agentic frameworks and related libraries (such as Langchain, Langgraph or LLamaIndex)

Responsibilities

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.
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.
Be responsible for building end to end AI systems: from identifying the need, framing and prototyping the solution to deploying it in production.
Work with Application Development teams to deploy and support ML models in production environments.
Mentor junior team members on ML initiatives and be their technical referent to deliver the most performant solutions for the Bank.