Assistant Vice President Senior Machine Learning Engineer

$160,000 - $200,000/Yr

BNP Paribas - Jersey City, NJ

Full-time - Senior

Jersey City, NJ

10,001+ employees

Credit Intermediation and Related Activities

About the position

The Assistant Vice President - Senior Machine Learning Engineer will play a crucial role in the Analytics Lab, which serves as the center of excellence in AI/Machine Learning within the Change & Solutions team at BNP Paribas. This position involves collaborating with internal clients to develop and implement innovative machine learning solutions that align with the bank's strategic goals. The role requires strong technical expertise in machine learning, excellent communication skills, and the ability to work in a fast-paced environment while driving impactful outcomes.

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.
• 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 improve the performances of applications.

Requirements

• Master's degree in computer science, mathematics, statistics, or a related field.
• Strong programming skills in languages such as Python, SQL, and statistical modeling 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, etc.) and MLOps (MLFlow).
• Experience with containerization techniques (Docker & Kubernetes).
• Experience with mentoring junior team members.

Benefits

• Medical, dental and vision coverage
• 401(k) Savings Plan
• Backup childcare
• Life, accident and disability insurance
• Mental health support
• Paid time off
• Eligibility for a discretionary bonus