Own full 360 recruitment for technical roles including Software Engineers, AI Engineers, ML Engineers, Data Scientists, Data Engineers, and Product roles across global teams.
Partner with technical hiring managers to deeply understand role requirements, team structures, and the specific competencies that matter for each hire.
Source and engage passive and active talent through multiple channels: LinkedIn Recruiter, GitHub, Kaggle, Stack Overflow, AI/ML communities, referrals, and beyond.
Screen candidates for technical depth and culture fit; coordinate take-home assessments, technical interviews, and system design or ML-specific evaluation stages.
Manage offers, negotiations, and closing ensuring a competitive and compelling candidate experience throughout.
Use data and metrics to continuously improve sourcing strategies, pipeline health, and time-to-hire.
Maintain clear, timely communication with all candidates, ensuring a transparent and positive recruiting experience.
Support employer branding initiatives targeted at technical and AI/ML audiences: tech talks, hackathons, and community presence.

4–5 years of experience in technical recruitment, ideally within fast-paced, international, or start-up environments.
Proven track record hiring for software engineering roles and for AI, ML, and Data Science positions: you know what a strong ML Engineer looks like on paper and in conversation.
Strong sourcing skills across platforms like LinkedIn Recruiter, GitHub, Kaggle, AngelList, and relevant AI/ML communities.
Familiarity with technical assessment formats: take-home tasks, live coding sessions, system design rounds, and ML model evaluation interviews.
Experience with ATS tools (e.g., Lever, Greenhouse, or similar).
Excellent communication and stakeholder management skills, with confidence working cross-functionally with technical leaders.
High attention to detail and strong organisational skills.
Comfortable working across time zones and cultures.

Technical Recruiter

Key skills