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Applied AI/ML Lead - Intelligent Cloud Migration - JPMorganChase
Software Engineer
Lead applied AI/ML initiatives to transform cloud migration, leveraging Python, generative and agentic AI techniques to automate processes and enhance decision‑making for financial services.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI/ML solutions that accelerate cloud migration and optimize resource utilization.
- Integrate generative and agentic AI models with existing data pipelines to automate complex business workflows.
- Collaborate with cross‑functional teams to translate business requirements into scalable ML prototypes and production systems.
- Drive continuous improvement of model performance through rigorous experimentation, monitoring, and retraining pipelines.
- Mentor junior data scientists and engineers, fostering a culture of innovation and best practices.
Requirements
- Extensive experience in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
- Proven track record of deploying generative and agentic AI models in production environments.
- Deep understanding of cloud migration strategies and cloud-native services (AWS, Azure, GCP).
- Strong analytical skills with the ability to translate complex data insights into actionable business solutions.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learninggenerative ai