Applied AI ML Associate-Python, React

JPMorgan Chase Bank

2 - 4 years

20 - 25 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

frontend development rest cd continuous integration python aws iam software development golang amazon rds aws cloudformation docker containerization react.js amazon ec2 java lambda expressions ecs websocket terraform typescript aws programming

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

Bachelors 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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