Vice President – Senior Machine Learning Engineer

About the role

The Analytics Lab is the center of excellence in AI/Machine Learning within Change & Solutions serving the Americas region. The Lab is playing a central role in the evolution of traditional ML solutions to Generative AI and Agentic systems, enabling more autonomous, scalable, and intelligent business processes.

Responsibilities

• Collaborate with internal clients to identify, prioritize and design high-value solutions ranging from specialized machine learning models to multi-agent systems.
• Understand business needs and translate them into machine learning, generative AI and agentic AI solutions.
• Be responsible for building end-to-end AI systems: framing the problem, prototyping the solution, deploying and monitoring it in production.
• Mentor junior team members and provide technical leadership.
• Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.
• Contribute best practices for AI development, including evaluation practices, technical documentation, prompt engineering techniques, engineering standards, and design patterns.

Qualifications

• Master’s degree in computer science, mathematics, statistics, or related fields.
• Strong programming skills in Python, database manipulation (SQL).
• Experience with machine learning frameworks such as Tensorflow, PyTorch, and scikit-learn.
• Experience with LLM orchestration frameworks and libraries used for LLM / agentic workflows (such as LangChain, CrewAI, Google ADK, OpenAI Agent SDK).
• Experience designing and implementing RAG-based systems including complex retrieval techniques and evaluation methods.
• Understanding LLMs’ strengths and limits, including hallucination risks, reasoning limitations, and latency / cost trade-offs.
• Excellent communication and collaboration skills.
• Very strong work ethic and ability to deal with confidential information.

Preferred Qualifications

• Experience in deploying models or agent-based systems to production.
• Experience with CI/CD pipelines (GIT, Jenkins, …), ML/LLMOps (experiment tracking, tracing/observability).
• Experience with containerization techniques (Docker & Kubernetes).
• Familiarity with guardrails, human-in-the-loop patterns, and AI safety/governance considerations in enterprise environments.
• Experience mentoring junior team members.

PAY

The expected starting salary range for this position is between $160,000 to $200,000 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location.

BENEFITS

In addition, our comprehensive benefits package aims to support our employees in various aspects of their lives. From healthcare and wellness programs to retirement plans and childcare services, we prioritize the well-being and growth of our employees. Our benefits include medical, dental and vision coverage, a 401(k) Savings Plan, backup childcare, life, accident and disability insurance, mental health support and paid time off. Additional details about our benefits offerings, including eligibility for a discretionary bonus, will be provided during the hiring process.

About BNP Paribas

BNP Paribas is a leading bank in Europe with an international reach across the US, EMEA and APAC. It has a presence in 65 countries, with nearly 190,000 employees. The bank employs over 3,500 people in offices in the US across 10 states including New York, Jersey City, Chesterbrook, PA, San Francisco, Boston, Chicago, Denver, Miami, and Washington, DC. BNP Paribas has built a strong and diversified presence to support its client base. We continue to grow and strengthen our commitment to the US market through our Corporate & Institutional Banking activities. We are one of a few non-US banks to offer a full value chain for our clients, from trading to financing, and clearing and custody in the US with the international footprint and capacity to deliver both globally and locally. Leveraging the strength of our European roots, our network can support clients in virtually every region of the world, enabling more connectivity and efficiency wherever our clients conduct business. We take pride in our expertise and our ability to adapt while constantly looking ahead to create a more sustainable world.

Equal Opportunity Employer

BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status.