Flatgigs
1 - 10 employees
Founded 2023
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Flatgigs is a Dubai-based talent and recruitment firm that partners with investor-backed and investor-ready MENA startups to fill critical revenue-driving roles. They provide end-to-end strategic talent acquisition, performance-focused cultural fit hiring, hyper-accelerated onboarding, and data-driven hiring optimization to maximize hiring ROI and extend runway for startups. Flatgigs positions itself as a B2B partner for high-growth companies and investors, embedding experienced leaders and teams to drive faster revenue milestones and reduce hiring risk.
AI Engineer – R&D to Production, Multi-Modal: Video, Text, Audio
🕒 March 30
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Flatgigs
1 - 10 employees
Founded 2023
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Flatgigs is a Dubai-based talent and recruitment firm that partners with investor-backed and investor-ready MENA startups to fill critical revenue-driving roles. They provide end-to-end strategic talent acquisition, performance-focused cultural fit hiring, hyper-accelerated onboarding, and data-driven hiring optimization to maximize hiring ROI and extend runway for startups. Flatgigs positions itself as a B2B partner for high-growth companies and investors, embedding experienced leaders and teams to drive faster revenue milestones and reduce hiring risk.
📋 Description
• Solve complex AI problems across Video understanding and processing, Text-based AI / NLP systems, Audio processing (nice to have, not mandatory) • Design, experiment, and iterate on AI models and approaches • Work on problems that may not have clear starting points or predefined solutions • Explore multiple approaches before arriving at optimal solutions • Contribute to research-driven experimentation and innovation
🎯 Requirements
• 4–5+ years of experience in AI / Machine Learning • Experience across at least two of the following areas: Video, Text (NLP / LLMs), Audio (bonus) • Prior experience working in research or experimentation-heavy environments • Exposure to: Prototyping, Testing hypotheses, Iterative experimentation • Experience contributing to: Research initiatives, Internal innovation projects, Publications (nice to have, not mandatory) • Ability to go beyond 'making things work' and instead: Understand why something works or fails, Debug deeply at the model or system level, Explore multiple approaches before finalizing a solution • Curious by nature — asks 'why' more than 'what' • Comfortable working in uncertain, ambiguous problem spaces • Enjoys experimentation and is not discouraged by failure • Thinks in terms of systems, patterns, and root causes • Has a tinkerer mindset — explores beyond surface-level fixes
Apply Now
