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Vice President AI/ML Engineer - Agentic Private Bank - JPMorganChase
ML Engineer
Lead the design and deployment of AI agents for a private banking platform, leveraging Python, LLMs, and cloud services to transform client advisory, automate processes, and drive next‑generation banking experiences.
About the role
Key Responsibilities
- Architect and implement AI‑driven agents that automate end‑to‑end private banking workflows.
- Design, train, and fine‑tune large language models and NLP pipelines to enhance client interaction and advisory services.
- Collaborate with product, data, and infrastructure teams to integrate AI solutions into the bank’s cloud environment (AWS).
- Lead a multidisciplinary team of data scientists and engineers, providing technical guidance and mentorship.
- Establish best practices for model monitoring, governance, and continuous improvement in a regulated financial setting.
Requirements
- 5+ years of hands‑on experience building production‑grade machine‑learning systems, preferably in finance.
- Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, Hugging Face).
- Deep knowledge of large language models, prompt engineering, and NLP techniques.
- Experience deploying scalable solutions on AWS (SageMaker, Lambda, ECS/EKS).
- Strong problem‑solving skills, ability to translate business objectives into technical roadmaps, and excellent communication with senior stakeholders.
Skills
pythonmachine learningnatural language processing