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Senior AI/ML & Cloud Engineer

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Onsite

Senior AI/ML & Cloud Engineer

Tekskills

Senior AI/ML & Cloud Engineer

Skills

Data ScienceData AnalysisMachine LearningAI

21 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


JD AI/ML + DevOps + Cloud + Data Science

Position: Senior AI/ML & Cloud Engineer
Experience: 10–12 Years
Location: Gurgaon / Pune

Role Overview

We are looking for an experienced AI/ML & Cloud professional with strong hands-on expertise across AI/ML, DevOps, Cloud, Data Science, and Full-Stack technologies. The ideal candidate should be capable of working across multiple technology areas, solving complex problems, and communicating effectively with technical and business stakeholders.

Key Responsibilities

  • Design, develop and implement AI/ML solutions for business requirements.
  • Apply Data Science, machine learning and analytical techniques to solve complex problems.
  • Build and manage cloud-based solutions and infrastructure.
  • Implement DevOps practices, including CI/CD, automation, deployment and monitoring.
  • Collaborate with development teams on Full-Stack applications and integrations.
  • Troubleshoot complex technical issues using strong logical reasoning and problem-solving skills.
  • Work closely with cross-functional teams and effectively communicate technical concepts.

Mandatory Skills

  • AI/ML: Strong understanding of AI/ML concepts and practical implementation.
  • DevOps: Hands-on experience with DevOps practices, CI/CD and automation.
  • Cloud: Strong experience with cloud platforms and cloud architecture.
  • Data Science: Knowledge of data analysis, modelling and machine learning techniques.
  • Full Stack: Good understanding of frontend, backend and application architecture.
  • Logical Reasoning: Strong analytical and problem-solving ability.
  • Communication: Excellent verbal and written communication skills.

Preferred

  • 10–12 years of overall experience.
  • Preferred locations: Gurgaon / Pune.
  • Candidates who have worked across multiple technology domains and can bridge AI/ML, Data Science, Cloud and Engineering are preferred.

Non-negotiable: Strong hands-on exposure to AI/ML + DevOps + Cloud + Data Science, along with good Full-Stack understanding and communication skills.

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