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 to provide 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 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.
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 to work at the forefront of machine learning and agentic AI, enjoy solving complex business problems, and strive for engineering excellence in a fast-paced and evolving environment, we offer a unique opportunity to grow and make a tangible impact. 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.
Candidate Success Factors:
Candidates are measured on the following four performance drivers, which will dictate how individual impact is considered on the Americas platform:
Results and Impact
Able to influence peers and team.
Demonstrates good judgement when making decisions of high complexity and impact.
Exercise appropriate autonomy in the execution and delivery of work.
Responsible for driving outcomes, which have meaningful effect on team or department.
Leadership and Collaboration:
Creates trust with colleagues.
Acts in leadership capacity for projects, processes, or programs.
Client, Customer and Stakeholder Focus:
Able to build relationships with a mix of colleagues and clients.
Interacts regularly with management and department leaders.
Demonstrates the ability to influence stakeholders at the team level.
Compliance Culture and Conduct:
Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts.
Perceived as a person of high moral character; upholds corporate values and displays high ethical standards.
Responsibilities:
The Senior Machine Learning (ML) Engineer will:
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.
Minimum Required Qualifications:
Master’s degree in computer science, mathematics, statistics, or related fields.
Strong programming skills in Python, database manipulation (SQL).
Minimum 5 years of experience required
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 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.
FINRA Registrations Required:
Not Applicable
CFTC Swap Dealer Associated Person (if yes, NFA Swaps Proficiency Program is required):
Not Applicable
SEC Security-Based Swap Dealer Associated Person:
Not Applicable
While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted.
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.
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, inclusive of 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.
As an international company with a global footprint, the unique cultures and viewpoints of our team members are an integral part of the fabric of BNP Paribas. We are a company with a purpose - to be a responsible and sustainable global leader. We aim to create an environment where our employees feel empowered to drive change, make an impact and be true to themselves. We employ talented individuals from a wide variety of backgrounds, locally and globally, and are inspired by our employees who help us in cultivating a diverse, equitable and inclusive workplace through initiatives such as our Diversity, Equity & Inclusion (DEI) Leadership Forum and Employee Resource Group (ERG) communities. We strive to be a workplace where all team members can grow and thrive and offer robust training, development, and mentoring opportunities to make that vision a reality. Our leaders are deeply committed to DEI and highly accessible to our employees, consistently soliciting feedback on how we can continue to support our employees to reach their highest potential.
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.
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