JPMorgan Applied Artificial Intelligence & Machine Learning Associate 

India, Maharashtra, Mumbai 

231316026

About the role

As a member of the CIB Cross-Functional Applied AI/ML team, you will have the unique opportunity to be a critical player in our firm-wide efforts to shape the future of banking. Crucial to this is helping to transform how cross-functional and operations teams operate, where you will have a direct impact on the behind-the-scenes management and functioning of the bank's corporate and investment banking services.

Finance background is not a must-have. If you get as excited about machine learning theory as you get about Python development, we’d love to speak with you.

In this role, you will:

• Interact with very large datasets from different businesses in the financial domain currently not available anywhere else.
• Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business.
• Develop products that can change how corporate and investment banking is done today.

Responsibilities

• Research and develop innovative ML based solutions to some of cross-functions and operations hardest problems.
• Build robust data science capabilities which can be scaled across multiple business use cases.
• Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems.
• Research and analyze large data sets using a variety of statistical and machine learning techniques.
• Communicate AI capabilities and results to both technical and non-technical audiences.
• Document approaches taken, techniques used, and processes followed to comply with industry regulation.

Required Technical Qualifications and Experience

• Bachelors/Masters degree or PhD in a quantitative or computational discipline
• Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale.
• Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger group of data scientists to solve a broad spectrum of business use cases.
• Ability to work both individually and in collaboration with others, and to mentor more junior team members.
• Ability to work in agile cross-functional and operations teams and drive deliverable outcomes.
• Ability to work with non-specialists in a partnership model, conveying information clearly and creates a sense of trust with stakeholders.

Nice to Have

• Experience with deep learning frameworks (pytorch, tensorflow)
• Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin)
• Hands on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
• Experience of creating and deploying microservices
• Knowledge of MLOps concepts (CI/CD, versioning, reproducibility, observability) and development best practices