Job Description

  • Familiarity with Python parallel processing modules such as multiprocessing, concurrent.futures, dask for efficient parallel and distributed computing.
  • Hands-on experience with GenAI frameworks such as LangChain, LangGraph, and Prompt Engineering.
  • Proficient in AWS cloud services and cloud-native architecture.
  • Skilled in Infrastructure as Code (IaC) using Terraform.
  • Familiar with CI/CD pipelines, Docker, and Kubernetes.
  • Familiarity with code quality tools such as pylint, black, isort, mypy, pytest, SonarQube, SonarLint, and Black Duck for linting, formatting, testing, static analysis, and open-source security compliance
  • Solid understanding of security best practices in cloud and AI deployments.
  • Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
  • Develop scalable and modular Python applications for deploying generative AI solutions.
  • Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
  • Automate infrastructure provisioning and configuration using Terraform.
  • Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
  • Ensure production-grade scalability, reliability, and security of GenAI systems.
  • Monitor and optimize system performance using tools like AWS CloudWatch.
  • Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
  • Contribute to code reviews, documentation, and Python development best practices.


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Bengaluru East ,Karnataka
Company Website: https://www.infosys.com Job Function: Software Development
Company Industry/
Sector:
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