Technical Recruiter - AI
Rs 9 - 15 lakhs p.a.Uplers
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Experience: 3.00 + years Salary : INR 900000-1500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Uplers)(*Note: This is a requirement for one of Uplers' client - Uplers) What do you need for this opportunity Must have skills required: AI Community Networking, Compensation Benchmarking, Ats proficiency, Full-cycle AI/ML Recruiting, Notice Period & Offer Negotiation Uplers is Looking for: We are an early-stage AI startup building foundational infrastructure for the next generation of Startups. As our Technical Recruiter for AI Hiring — India, you will own the full-cycle recruitment process for machine learning, AI research, and applied engineering roles across India''s rapidly expanding AI ecosystem. India is home to one of the world''s largest and fastest-growing pools of AI/ML talent — from IIT and IISc researchers to engineers at FAANG India centres and homegrown AI startups. Your role is to tap into this talent landscape WITH_REPLACED precision, credibility, and speed. This is not a traditional recruiting role — you will need to deeply understand the nuances of India''s AI talent market and operate as a strategic partner to hiring managers, candidates, and founders alike. What You''ll Do Sourcing & Pipeline
- Build proactive sourcing strategies to identify top-tier AI/ML candidates across IITs, IISc, IIITs, and other Tier-1 institutions, as well as research labs, open-source communities, and AI startups across India.
- Develop and maintain pipelines for hard-to-fill roles including ML Research Scientists, AI Engineers, LLM/NLP specialists, and AI Product Managers — WITH_REPLACED a deep understanding of the India talent pool for each.
- Leverage LinkedIn Recruiter, GitHub, ArXiv, Hugging Face, Naukri, iimjobs, and academic conferences (including local events like India AI Summit, COMAD, and regional IEEE chapters) to identify passive talent.
- Build talent maps and compensation benchmarking reports specific to India''s AI market across metros (Bengaluru, Hyderabad, Pune, Delhi NCR, Mumbai) and emerging tech hubs.
- Own the end-to-end candidate journey from initial outreach through offer acceptance, ensuring a world-class experience at every stage.
- Write compelling, personalized outreach that resonates WITH_REPLACED technical candidates — no generic templates.
- Act as a genuine ambassador for the company''s mission, culture, and technical vision.
- Partner closely WITH_REPLACED hiring managers, technical leads, and founders to define role requirements, craft accurate job descriptions, and calibrate expectations.
- Design structured interview processes and evaluation rubrics tailored to AI/ML roles.
- Provide regular pipeline updates, hiring metrics, and market feedback to leadership.
- Lead offer negotiations including equity, compensation, and signing packages, WITH_REPLACED a strong close rate on top-tier candidates.
- Navigate competing offers, relocations, and visa processes for international hires.
- Contribute to employer branding efforts including content, events, and community presence in AI/ML spaces.
- Represent the company at AI conferences, hackathons, and university recruiting events.
- 3–7 years of full-cycle technical recruiting experience, WITH_REPLACED at least 2 years focused on AI/ML roles.
- Demonstrable track record of closing senior ML/AI hires in competitive markets.
- Strong technical literacy — you understand the difference between a transformer and a decision tree, and can hold credible conversations WITH_REPLACED PhDs.
- Experience recruiting for startups or high-growth environments where speed, creativity, and adaptability are essential.
- Proficiency WITH_REPLACED ATS tools (Ashby, Greenhouse, Lever) and sourcing platforms.
- Excellent written and verbal communication — especially for cold outreach and candidate engagement.
- Prior experience at an AI-native company, research lab, or frontier tech startup in India.
- Familiarity WITH_REPLACED the India academic ecosystem — IIT/IISc PhD pipelines, MTech programs, and research publication culture.
- Network within India''s NLP, computer vision, reinforcement learning, or data science communities.
- Experience managing moonlighting, notice period negotiations, and competing ESOP/retention packages — common challenges in the India AI market.
- Background or degree in Computer Science, Data Science, or a related technical field.
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