VP, Applied ML & Generative AI Architect

JP Morgan Chase; Palo Alto (CA); Presencial; USD 170.000 - 210.000; Jornada completa

Descripción de la vacante

JP Morgan Chase is seeking an Applied Machine Learning Scientist to lead production-grade ML solutions across NLP, speech, and information retrieval. You will design and deploy agentic AI systems, including tool calling and multi-agent orchestration, with a focus on Generative AI capabilities and safety.

The role requires strong expertise in deep learning, transformer models, and practical experience with fine-tuning LLMs, PEFT, and RLHF approaches, along with collaboration across product,

Formación

• MS with 7+ years of hands-on industry experience in building and deploying ML systems.
• PhD with 4+ years of hands-on industry experience in building and deploying ML systems.

Responsabilidades

• Lead and deploy state-of-the-art ML systems across NLP, speech recognition, and information retrieval.
• Design and build agentic AI systems for multi-step workflows with tool calling and multi-agent orchestration.
• Fine-tune and adapt LLMs/SLMs using PEFT, distillation, and quantization; optimize for quality and production constraints.
• Collaborate with product, engineering, analytics, and governance teams to deploy solutions in production.

Conocimientos

NLP concepts

LLMs fine-tuning

Python

PyTorch/TensorFlow

MLOps/LLMOps

RAG/Agentic AI

Production ML systems

Prompt design

Reinforcement learning

Educación

MS with 7+ years

PhD with 4+ years

Herramientas

PyTorch

Hugging Face

scikit-learn

Descripción del empleo

JP Morgan Chase is seeking an Applied Machine Learning Scientist to lead production-grade ML solutions across NLP, speech, and information retrieval. You will design and deploy agentic AI systems, including tool calling and multi-agent orchestration, with a focus on Generative AI capabilities and safety.

The role requires strong expertise in deep learning, transformer models, and practical experience with fine-tuning LLMs, PEFT, and RLHF approaches, along with collaboration across product,