Tekskills
Senior AI/ML & Cloud Engineer
Skills
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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