JPMorgan Chase is one of the world's oldest and largest financial institutions, known for its innovative spirit. The Applied AI/ML Associate role focuses on developing and deploying machine learning applications and models, collaborating with team members to create scalable solutions in the Payments space.

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.

Qualification

Required

• Bachelor’s or Master’s degree 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.

Preferred

• 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.