Applied AI ML Associate-Python, React

3 weeks ago

Hyderabad, India JPMorgan Chase & Co. Full time

We have an exciting and reward opportunity for you to take your career to next level

As an Applied AI ML Associate with JP Morgan Chase within our AI/ML & Data Platform team you will work to develop and deploy generative AI and applied AI solutions. This role requires expertise in full-stack development with Python and React, combined with hands-on experience implementing AI agents and frameworks. The position involves building scalable AI applications, integrating agentic systems, and maintaining cloud-based infrastructure to support enterprise-level AI initiatives.

Job Responsibilities

Design, develop, and maintain AI-powered applications using Python backend services and React frontend interfaces.  Implement generative AI solutions and applied AI models for business use cases across the organization.  Build and deploy agentic frameworks including LangGraph, Google ADK, and AutoGen for autonomous AI systems.  Develop real-time communication systems using WebSockets and A2A protocols for seamless data exchange.  Deploy and manage containerized applications using Docker and orchestrate services through AWS ECS and Lambda functions.  Implement infrastructure as code using Terraform for scalable cloud deployments.  Collaborate with cross-functional teams to integrate AI capabilities into existing business processes.  Optimize application performance and ensure security compliance across all AI implementations.  Maintain code quality through testing, documentation, and peer review processes.

Required Qualifications, Capabilities, and Skills

Bachelor's degree in Computer Science, Engineering, or related technical field with 2+ years of professional software development experience Expert-level proficiency in Python programming and ecosystem Advanced knowledge of React and TypeScript for frontend development Hands-on experience with generative AI and applied AI implementations Working knowledge of agentic frameworks including LangGraph, Google ADK, and AutoGen Experience with A2A protocol implementation and WebSocket communication Proficiency in AWS services including ECS and Lambda coupled with proficiency in additional programming languages such as Java or Golang Strong understanding of containerization using Docker Experience with infrastructure as code using Terraform Knowledge of software engineering best practices and design patterns Experience with version control systems and CI/CD pipelines

Preferred Qualifications, Capabilities, and Skills

Experience with additional AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Knowledge of vector databases and embedding technologies ; financial services industry and regulatory requirements ; security best practices for AI applications Experience with additional AWS services including S3, RDS, and CloudFormation along with monitoring and observability tools Familiarity with Kubernetes for container orchestration; experience with microservices architecture and distributed systems ; GraphQL and REST API design

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