
Global financial services firm
Applied Artificial Intelligence & Machine Learning Engineer - Associate
Required skills
Machine Learning
Are you ready to play a pivotal role in revolutionizing the future of banking? As a valued member of our Commercial & Investment Banking Payments Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance banking operations. Your contributions will be instrumental in transforming the operational dynamics of our Payments teams, directly influencing the management and functionality of our corporate and investment banking services.
As an Applied AIML Engineer within our Corporate and Investment Banking Payments Applied AI/ML team, you will work in close coordination with various cross-functional teams such as Operations, Product, and Technology. Your role will involve designing and implementing AI-promote solutions that boost operational efficiency and foster business innovation. Leveraging your expertise in artificial intelligence and machine learning, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our operations, ensuring we remain at the cutting edge of the financial industry.
Job Responsibilities :
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Developing and Delivering AI Solutions: Write and deliver high-quality code for AI-driven payments initiatives, ensuring robust and efficient solutions that meet business objectives.
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Collaborate Cross - Functionally: Work closely with Operations, Technology, and Product teams to address and solve complex problems, leveraging AI and ML technologies.
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Partnering with Global Team: Collaborate with global team members and leaders to deliver innovative solutions while fostering a culture of respect and inclusivity.
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Reviewing Code and Application Design: Conduct thorough code reviews and design new applications and services with a focus on reusability and scalability.
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Managing Codes end to end: Own and manage the entire code lifecycle, from development through to production deployment, ensuring seamless integration and operation.
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Maintaining Code Practices: Write clean, maintainable, and readable code that adheres to best practices and industry standards.
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Engaging with Stakeholders: Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
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Communicating on Projects: Provide clear and concise updates to project managers and program teams, ensuring transparency and alignment on project progress.
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Estimating Accurately: Deliver clear and realistic time and resource estimates that are critical for effective project planning and delivery.
Testing Comprehensively: Ensure code quality through proper unit test coverage and support both functional and automated testing processes to guarantee reliable and high-performing solutions.
Required qualifications, capabilities and skills :
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Minimum 5 years of industry experience
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BE – Computers / IT or equivalent
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Projects delivery in AIML space for minimum 2 years
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Tech stack – python, pandas, flask, fastAPI, tensorflow, LLMs etc.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total per year
Base
$145,000
Stock
-
Bonus
-
$182,000
$195,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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