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JPMC Candidate Experience page
Applied Artificial Intelligence & Machine Learning - Vice President
JPMC Candidate Experience page
Mumbai•On-site•2 hours ago
Job description
Overview
As a member of the Commercial and Investment Banking Applied Artificial Intelligence/Machine Learning team, you will have the unique opportunity to be a critical player in our firm-wide efforts to shape the future of banking.
Responsibilities
- Research and develop innovative ML based solutions to some of KYC and operations hardest problems.
- Build robust data science capabilities which can be scaled across multiple business use cases.
- Collaborate closely with business domain experts in a partnership framework, ensuring clear communication and fostering trust among stakeholders.
- 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.
- Offer technical mentorship and guidance to team members, sharing industry best practices and staying updated with the latest advancements in machine learning.
- 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.
Qualifications
- Master’s 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.
- Strong grasp of metrics, benchmarking, and evaluation methodologies for user-facing products powered by AI/ML.
- Deep knowledge of machine learning algorithms applied to solving business problems.
- Ability to work both individually and in collaboration with others, and to mentor junior team members.
- Posses a strategic mindset capable of deconstructing business challenges into solutions driven by AI.
- 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.
- Hands on experience with Natural Language Processing (NLP), Large Language Models (LLMs) and Agentic AI systems.
- Knowledge of MLOps concepts (CI/CD, versioning, reproducibility, observability) and development best practices