onsite
Applied AI/ML Lead - JPMorgan Chase
Software Engineer
Lead the design, evaluation, and production deployment of foundation models and agent‑based AI solutions, driving generative AI and advanced analytics initiatives that improve decision‑making and automate workflows.
About the role
Key Responsibilities
- Architect, prototype, and scale generative AI and foundation model solutions from research to production.
- Collaborate with product, engineering, and risk teams to define AI use cases, requirements, and governance frameworks.
- Lead a multidisciplinary team of data scientists and engineers, providing technical mentorship and ensuring best practices in model development.
- Design and implement MLOps pipelines on cloud platforms (e.g., AWS) to enable continuous integration, testing, and deployment of AI models.
- Evaluate model performance, bias, and reliability, and drive improvements through iterative experimentation.
Requirements
- 5+ years of hands‑on experience building and deploying large‑scale AI/ML systems, preferably with generative or foundation models.
- Strong programming skills in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Proven expertise in cloud environments (AWS) and MLOps tooling for model lifecycle management.
- Experience applying NLP or computer‑vision techniques to real‑world business problems.
- Excellent communication and stakeholder‑management abilities, with a track record of leading technical teams.
Skills
pythontensorflowpytorchgenerative aimlopsawsnlp