Applied AI ML. Sr. Associate
Company: JPMorganChase
Location: Jersey City
Posted on: April 2, 2026
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Job Description:
Description Join a world-class data science team at JPMorgan
Chase and help shape the future of our Chief Administrative Office.
As a leader in applied AI and machine learning, you’ll have the
opportunity to work on high-impact projects that influence the way
we do business across multiple domains. Collaborate with talented
colleagues, leverage cutting-edge technologies, and see your work
make a tangible difference. We value curiosity, technical
excellence, and a passion for solving complex problems. If you’re
ready to accelerate your career and drive meaningful change, we
want to hear from you. As an Applied AI ML, Sr. Associate in the
Chief Data & Analytics Office , you will lead the development and
deployment of innovative AI and machine learning solutions. You
will collaborate with cross-functional teams to address complex
business challenges, drive adoption of modern ML practices, and
ensure responsible AI governance. You will have the opportunity to
work with state-of-the-art technologies and contribute to a culture
of technical excellence and continuous learning. Job
Responsibilities: Lead the hands-on design, development, and
deployment of advanced AI, GenAI, and large language model
solutions. Serve as a subject matter expert on a wide range of
machine learning techniques and optimizations. Collaborate with
product, engineering, and business teams to deliver scalable,
production-ready AI systems. Conduct experiments using the latest
ML technologies, analyze results, and tune models for optimal
performance. Own end-to-end code development in Python for both
proof-of-concept and production-ready solutions. Integrate
generative AI within the ML platform using state-of-the-art
techniques. Drive adoption of modern ML infrastructure, tools, and
best practices. Optimize system accuracy and performance by
identifying and resolving inefficiencies. Communicate technical
concepts and results to both technical and business stakeholders.
Ensure responsible AI practices, model governance, and compliance
with regulatory standards. Required Qualifications, Capabilities,
and Skills: Master’s or PhD in Computer Science, Engineering,
Mathematics, or a related quantitative field. Minimum 3 years of
hands-on experience in applied machine learning, including
generative AI, large language models, or foundation models.
Experience programming in Python; experience with ML frameworks
such as PyTorch or TensorFlow. Proven experience designing,
training, and deploying large-scale ML/AI models in production
environments. Understanding of prompt engineering, agentic
workflows, and orchestration frameworks. Experience with cloud
platforms (AWS, Azure, GCP) and distributed systems (Kubernetes,
Ray, Slurm). Grasp of MLOps tools and practices (MLflow, model
monitoring, CI/CD for ML). Strong communication skills with the
ability to explain complex technical concepts to diverse audiences.
Experience applying data science and ML techniques to solve
business problems. Passion for detail, follow-through, and
technical excellence. Preferred Qualifications, Capabilities, and
Skills: Experience with high-performance computing and GPU
infrastructure (e.g., NVIDIA DCGM, Triton Inference). Familiarity
with big data processing tools and cloud data services. Experience
with building and deploying ML models on cloud platforms such as
AWS Sagemaker, EKS, etc.
Keywords: JPMorganChase, Plainfield , Applied AI ML. Sr. Associate, IT / Software / Systems , Jersey City, New Jersey
