Artificial Intelligence (AI) Associate (WFH)

🏒 QuickHyre · all 17 jobs
πŸ“ India
πŸ“… Posted Oct 16, 2026 Β· via Internshala
🏷 Remote
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About the job:
As an Artificial Intelligence (AI) Associate at QuickHyre, you will have the opportunity to work on cutting-edge projects that utilize Python, Machine Learning, Natural Language Processing (NLP), Deep Learning, and Artificial Intelligence. You will be part of a dynamic team that is dedicated to revolutionizing the way businesses approach talent acquisition.

Key Responsibilities:

1. Develop and implement machine learning models to improve candidate matching algorithms.

2. Utilize NLP techniques to enhance job description parsing and candidate profile analysis.

3. Design and optimize deep learning models for predictive analytics and recommendation systems.

4. Collaborate with cross-functional teams to integrate AI technologies into existing platforms.

5. Research and stay up-to-date on the latest advancements in AI to drive innovation within the company.

6. Conduct experiments and analyze data to measure the performance of AI solutions.

7. Provide technical guidance and support to junior team members on AI-related projects.

If you are passionate about AI and eager to make a real impact in the world of recruitment, apply now to join QuickHyre's innovative team!

Who can apply:

Only those candidates can apply who:
- have minimum 1 years of experience

Salary:
β‚Ή 13,00,000 - 15,00,000 /year

Experience:
1 year(s)

Deadline:
2026-11-15 23:59:59

Other perks:
5 days a week, Health Insurance, Life Insurance

Skills required:
Python, Machine Learning, Natural Language Processing (NLP), Deep Learning and Artificial intelligence

About Company:
QuickHyre is an AI-powered job hiring and finding platform that bridges the gap between job seekers, recruiters, and educational institutions. We leverage cutting-edge AI technology to streamline recruitment processes, making job matching, resume screening, and virtual interviews more efficient.

Flights + hotels

This role requires you to be in India. If that means relocating or flying in, it is worth checking fares before you commit to a start date.

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