JPMorgan Chase within the Consumer & Community Banking - Deposits Platform space is looking to enhance, build, and deliver reliable, market-leading technology products in a secure, stable, and scalable manner by leveraging cutting-edge generative AI solutions to add business value and enhance user experiences.
Requirements
- Proficiency in Python, SQL, JavaScript/TypeScript, Go or Rust
- Proficiency in PyTorch, TensorFlow, and modern ML frameworks, Hugging Face Transformers, LangChain
- Experience in Infrastructure, AWS/Azure/GCP, Docker, Kubernetes, MLflow, Weights & Biases
- Deep understanding of transformer architectures, attention mechanisms, and neural network optimization techniques.
- Proven experience working with large language models including GPT, Claude, LLaMA, or similar architectures. Hands-on experience with fine-tuning techniques, prompt engineering, and model evaluation methodologies. Familiarity with vector databases, embedding models, and retrieval systems for RAG implementations.
- Demonstrated ability to deploy AI models in production environments with considerations for latency, throughput, and cost optimization. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Understanding of model serving frameworks and API development.
- Experience with distributed training and large-scale model development.
Responsibilities
- Designs and implements generative AI models including large language models, multimodal systems, and specialized domain-specific models.
- Builds scalable, robust AI infrastructure capable of handling enterprise-level workloads.
- Designs efficient data pipelines for model training and inference, implements MLOps practices for continuous integration and deployment, and ensure system reliability through comprehensive monitoring and testing frameworks.
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Other
- 5+ years applied experience
- 5+ years of hands-on experience in AI/ML development.
- Serves as a function-wide subject matter expert in one or more areas of focus
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, opportunity, inclusion, and respect
