Applied AI ML - Associate/VP
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Key Skills for This Role
Full Job Posting
We’re looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team.
In this role, you’ll help build practical machine learning and generative AI solutions that can move from experimentation into production.
You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale.
This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable systems.
Job Responsibilities
- Apply machine learning, deep learning, and generative AI techniques to business problems
- Design, run, and evaluate ML experiments using current tools and frameworks
- Work with large language models, AI agents, and related methods to enhance ML workflows
- Write production-quality code and own solutions from proof of concept to deployment
- Improve model accuracy, reliability, and performance by identifying optimization opportunities
- Partner with product and engineering teams to build scalable and maintainable solutions
- Contribute technical expertise to model design and platform implementation decisions
- Share knowledge and help elevate the technical standard of our ML work
Required Qualifications, Capabilities, and Skills
- STEM degree or equivalent practical experience
- Applied experience with machine learning and deep learning methods
- Proficiency in Python and programming experience in Java, C/C++, or similar languages
- Ability to take ownership of tasks and deliver results with limited supervision
- Strong attention to detail and follow-through
- Effective communication skills and ability to collaborate in a team environment
- Experience working with engineers, product managers, and ML practitioners
Preferred Qualifications, Capabilities, and Skills
- Experience with large language models, including agents, planning, or reasoning techniques
- Experience building and deploying ML models on cloud platforms
- Familiarity with AWS tools such as SageMaker, EKS, or similar services
About JPMorgan Chase
Global financial services and investment banking firm.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at JPMorgan Chase
AI/ML Data and Analytics - Product Manager, Vice President
Brooklyn, USA
JPMorgan Private Client Relationship Manager – Portland, OR
Portland, USA
Transactions Specialist I - Insertion/Personalization
Coppell, USA
Lead Software Engineer - Public Cloud, Foundational Infra Platforms
Glasgow, GBR
AI/ML Data and Analytics - Product Manager, Vice President
Brooklyn, USA
JPMorgan Private Client Relationship Manager – Portland, OR
Portland, USA
Lead Software Engineer - MLOps / ML Platform
Plano, USA
Transactions Specialist I - Insertion/Personalization
Coppell, USA
Lead Software Engineer - Java, AI, React
Hyderabad, IND
Senior Lead Software Engineer Java FSD + AWS
Bengaluru, IND
Credit Trading – Private Credit Financing – Analyst
London, GBR
Lead Software Engineer - Public Cloud, Foundational Infra Platforms
Glasgow, GBR