Senior Applied Scientist - Multimodal AI Innovator

Inception42; Abu Dhabi; On-site; AED 400,000 - 800,000; Full time

Job summary

Inception42 in Abu Dhabi is seeking a highly accomplished Sr. Applied Scientist to develop efficient deep‑learning and generative AI algorithms and to conceive innovative AI‑centric models.

You will collaborate with product teams to apply emerging AI techniques across text, audio and visual data, delivering impactful solutions for finance, oil and gas, healthcare and beyond. This role offers exposure to multi‑modal research, proofs of concept and real‑world deployment at scale within the G42

Qualifications

• M.Sc. or Ph.D. in computer science, engineering, or AI-related field. CV/NLP/Speech & Audio specialization desirable.
• Minimum 8 years of experience developing AI algorithms for multiple modalities.
• Strong publication record or history of product-focused R&D.

Responsibilities

• Pioneer research across AI areas including computer vision, NLP, and audio signal processing.
• Design and optimize multimodal AI algorithms and models for real-world use.
• Collaborate with researchers and engineers to develop scalable, efficient solutions.
• Support product teams with proofs of concept (POC) and client-focused scenarios.
• Propose scenarios where AI can improve the customer’s efficiency.
• Provide pre-sales and post-sales technical support to the business development team.

Skills

AI algorithms

Multimodal learning

Communication skills

Education

MSc/PhD in CS/Engineering/AI

Specialization in CV/NLP/Speech & Audio desirable

Job description

Inception42 in Abu Dhabi is seeking a highly accomplished Sr. Applied Scientist to develop efficient deep‑learning and generative AI algorithms and to conceive innovative AI‑centric models.

You will collaborate with product teams to apply emerging AI techniques across text, audio and visual data, delivering impactful solutions for finance, oil and gas, healthcare and beyond. This role offers exposure to multi‑modal research, proofs of concept and real‑world deployment at scale within the G42