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JPMorgan Applied AI Lead Data Scientist - Vice President United States, Delaware, Wilmington 261530671
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Job Responsibilities
- Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
- Bridge scientific research and software engineering, applying expertise in both domains
- Collaborate with engineering teams to lead the design and delivery of GenAI products
- Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
- Integrate GenAI solutions with enterprise platforms using API-based methods
- Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
- Align ML problem definition with business objectives
- Communicate technical information and ideas effectively to stakeholders
Required Qualifications, Capabilities, and Skills
- PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
- Ten years of experience in an individual contributor role in ML engineering
- Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
- Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
- Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
- Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
- Excellent grasp of computer science fundamentals and SDLC best practices
- Strong communication skills to build trust with stakeholders
Preferred Qualifications, Capabilities, and Skills
- Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
- Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
- Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed
*** Relocation assistance is not available for this role.
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