Applied AI/ML - Senior Associate
Company: JPMorganChase
Location: Jersey City
Posted on: April 3, 2026
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Job Description:
Description Our team is responsible for pushing innovations in
the Payments space, which is a cornerstone of JPMorgan Chase
business. Payments are at the center of the global economy,
connecting businesses and consumers around the world. In recent
years, the payments industry has experienced rapid innovation with
new technologies entering the market. Working in payments ML means
being at the forefront of these changes and having the potential
for a meaningful and lasting impact on global finance. As an
Applied AI ML - Senior Associate within Commercial & Investment
Bank AI ML Team , you will build production-grade models and
services that power secure, scalable payment experiences. You will
operate at the forefront of innovation—from generative AI to
agentic systems—while collaborating with product, engineering, and
operations to deliver measurable impact. If you are passionate
about turning data and research into real customer outcomes, we
would love to work with you. Job responsibilities Deliver machine
learning applications from design and testing through
containerization and deployment to cloud environments. Build
modular, scalable, and well-tested Python code using
object-oriented patterns and version control workflows. Partner
with business stakeholders to deeply understand processes and
identify high-value AI and machine learning opportunities. Develop
innovative solutions, including generative AI and agentic
approaches, to solve complex operations challenges. Architect and
operate production machine learning services integrated with
strategic systems for scale, reliability, and security. Research
and analyze datasets using statistical and machine learning
techniques with strong experimental design and rigorous evaluation.
Define intrinsic and extrinsic evaluation methods aligned to
business outcomes and customer impact. Communicate findings,
trade-offs, and model performance clearly to technical and
non-technical audiences. Establish reusable data science
capabilities and tooling that accelerate multiple business use
cases. Document architectures, methods, and processes to promote
transparency and reproducibility. Collaborate across disciplines to
drive data-led transformation and measurable business results.
Required qualifications, capabilities, and skills Master’s degree
in a quantitative field with at least 2 years of relevant
experience, or Bachelor’s degree with at least 3 years of relevant
experience. Demonstrated depth in machine learning fundamentals,
data analysis, and experimental design. Proven experience building
and deploying data science and machine learning solutions to
production at scale. Strong Python development and debugging skills
with production-grade, modular code practices. Proficiency with
version control and collaborative development workflows.
Familiarity with distributed computing patterns for model training,
serving, and deployment. Ability to design and interpret
business-aligned evaluation metrics and testing frameworks.
Excellent problem solving, communication, and teamwork with strong
client focus and attention to detail. Experience with
containerization and cloud deployment principles. Track record of
solution ideation and translating complex business problems into
measurable machine learning solutions. Preferred qualifications,
capabilities, and skills Experience with natural language
processing and generative AI toolkits, including agentic patterns.
Hands-on experience with PyTorch or TensorFlow and data science
libraries such as scikit-learn, NumPy, SciPy, pandas, and
statsmodels. Experience deploying models on Amazon Web Services
platforms such as SageMaker or Bedrock. Practice integrating user
feedback loops to refine and improve AI applications.
CIBAppliedAI
Keywords: JPMorganChase, New Rochelle , Applied AI/ML - Senior Associate, IT / Software / Systems , Jersey City, New York
