Applied AI/ML Assiociate

JPMorgan Chase & Co. • New York, NY

85d

About The Position

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 a potential for a meaningful and lasting impact on global finance.
As a Machine Learning Data Scientist, you will be responsible for developing, testing, containerization and deployment of machine learning applications and models to cloud infrastructure. You will work closely with other team members to develop modular and scalable code using object-oriented programming concepts in Python, and collaborate with them using version control systems.

Requirements

• Bachelor’s with 3 years experience or Master’s degree with 1 year experience in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics).
• Hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
• Strong Python development and debugging skills.
• Ability to work both individually and collaboratively with others.
• Curiosity, attention to detail, and interest in complex analytical problems.
• Results-driven mindset and client focus.
• Excellent solution ideation, problem solving, communication (verbal and written), and teamwork skills.

Nice To Haves

• Experience with Natural Language Processing (NLP).
• Ability to design intrinsic and extrinsic evaluations of a model's performance aligned with business goals.
• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit.

Responsibilities

• Actively work to gain a deep understanding of intricate business challenges and processes, and identify opportunities for AI and ML solutions.
• Develop innovative ML-based solutions to address Operations' most challenging problems.
• Collaborate with business partners to drive data-led transformations of the businesses.
• Build robust Data Science capabilities scalable across multiple business use cases.
• Collaborate with the software engineering team to design and deploy Machine Learning services integrated with strategic systems.
• Research and analyze datasets using a variety of statistical and machine learning techniques.
• Communicate AI capabilities and results to both technical and non-technical audiences.
• Document approaches, techniques, and processes followed.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees