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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

Talent Destination

Artificial Intelligence Engineer

Skills

DevOpsDatabricksCybersecurityMachine LearningAI

18 days ago

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Important information


Contract type:

Permanent

Location:

Navi Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

3 October 2026

What they need


Position: AI Developer / AI Engineer – Multiple Specializations

Location : Navi Mumbai

Experience: 4–9 Years , depending on specialization

About the Roles:

We are looking for experienced AI Developers / AI Engineers to join a technology-driven engineering team working on AI/ML, Generative AI, intelligent automation, cloud engineering and cybersecurity automation .

Experience Bands

  • 4–6 Years: Senior AI Developer / AI Engineer / Security Automation Engineer
  • 6–9 Years: Senior / Lead AI Developer / AI Engineer
  • 6+ Years: Senior AI/ML Engineer / AI Engineering Specialist

The roles offer opportunities across multiple technical tracks, including:

  • AI/ML Engineering
  • Full-Stack AI Development
  • AI Backend Engineering
  • AI & Cloud Engineering
  • AI Architecture & Application Security
  • AI-driven DevSecOps Automation
  • SOC / Security Operations Automation
  • Cloud Automation
  • Infrastructure Security Automation
  • Databricks Security
  • AI-enabled Enterprise Security Solutions

Applicants may apply if they have strong hands-on experience in AI/ML, Generative AI, Full-Stack AI, Backend/Cloud Engineering, DevSecOps, SOC Automation, Cloud Automation, Application Security, or Infrastructure Security Automation. We'll map the exact role and specialization based on the candidate's technical expertise and project experience.

We are looking for professionals who:

  • Have 4–9 years of relevant technology experience , depending on the position.
  • Have hands-on experience building and deploying enterprise-grade technology solutions.
  • Possess strong experience in at least one AI, software engineering, cloud, or cybersecurity specialization.
  • Can work across engineering, architecture, security, and business teams.
  • Have experience converting technical requirements into scalable production solutions.
  • Are comfortable working on complex enterprise technology environments.
  • Have strong problem-solving and analytical capabilities.
  • Can independently own modules while collaborating with cross-functional teams.

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