AI/ML & Cloud DevOps- Full-Stack Developer

0 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position: Full-Stack + AI / DevOps Engineer

Summary

AI/ML development

Success in this role means delivering well-architected systems, collaborating effectively with cross-functional teams, and proactively identifying improvements in both our infrastructure and development processes. You will be a key contributor to innovation, system stability, and the speed of product delivery.

Responsibilities

  • Develop, and deploy AI services, including

    REST APIs

    for pose estimation and ML-based recommendation systems.
  • Implement scalable backend systems using

    Node.js

    and

    PostgreSQL

    , ensuring security, performance, and maintainability.
  • Build and optimize frontend applications with

    React.js

    and

    Express.js

    for high usability and responsiveness.
  • Collaborate with UI/UX designers to transform design prototypes into functional and accessible user interfaces.
  • Architect and maintain

    AWS-based cloud infrastructure

    to support high-availability services.
  • Create, manage, and monitor CI/CD pipelines to automate builds, testing, and deployments.
  • Containerize and orchestrate applications using

    Docker

    and

    Kubernetes

    for reliable, scalable deployments.
  • Collaborate with product managers, data scientists, and engineers to integrate ML models into production environments.
  • Troubleshoot, debug, and resolve production issues promptly to ensure uninterrupted service.

Qualifications

Required Skills & Experience

  • Proficiency in

    AI/ML development

    , including pose estimation and recommendation algorithms.
  • Experience designing and integrating

    REST APIs

    .
  • Strong backend development skills in

    Node.js

    and relational database management with

    PostgreSQL

    .
  • Frontend development expertise in

    React.js

    and

    Express.js

    .
  • Hands-on DevOps experience with

    AWS

    ,

    Kubernetes

    , and CI/CD tools (GitHub Actions, GitLab CI, etc.).
  • Proficient in containerization with

    Docker

    .
  • Solid understanding of cloud security, scaling strategies, and monitoring practices.

Preferred Skills

  • Experience working in agile, cross-functional teams.
  • Strong problem-solving and debugging capabilities.
  • Familiarity with microservices architecture and API security best practices.

Education & Certifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • AWS or Kubernetes certifications are a plus.


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