Lead AI Researcher - Deep Learning
Remote / Online - Candidates ideally in
Cape Town, 7561, South Africa
Listed on 2026-09-05
Cape Town, 7561, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
AI Business & Operations, AI Engineer (Applied/Software), Data Scientist -
Research/Development
AI Business & Operations, Data Scientist
Job Description & How to Apply Below
About the Role
Our client is seeking an innovative Lead AI Researcher with a strong focus on Deep Learning to spearhead research initiatives in Cape Town . This role is critical for advancing our AI capabilities and exploring novel applications that will shape future products and services. You will lead a team of talented researchers and engineers, guiding them in the discovery and implementation of groundbreaking AI solutions.
The position requires a visionary individual who can translate complex theoretical concepts into practical, impactful technologies. Join us in a role that offers the chance to contribute to the global AI landscape from one of Africa's most beautiful cities.
- Lead research and development efforts in deep learning, neural networks, and related AI fields.
- Define research roadmaps and strategic objectives for AI innovation.
- Publish research findings in top-tier AI conferences and journals.
- Develop and prototype novel AI algorithms and architectures.
- Mentor and guide a team of AI researchers and engineers, fostering a culture of innovation and excellence.
- PhD in Computer Science, AI, or a related field, with a specialization in Deep Learning.
- Proven track record of leading AI research projects and publications.
- Extensive experience with deep learning frameworks (e.g., Tensor Flow, PyTorch) and large-scale datasets.
- Deep understanding of various deep learning architectures and their applications.
- Excellent leadership, communication, and problem-solving skills are essential for this role in Cape Town .
- Exceptional salary package commensurate with experience and leadership.
- Generous stock options and performance bonuses.
- Fully remote work arrangement for flexibility.
- Access to cutting-edge computing resources and research tools.
- Opportunities for international collaboration and travel to leading AI conferences.
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