Remote Senior Deep Learning Engineer
Remote / Online - Candidates ideally in
Richards Bay, 3900, South Africa
Listed on 2026-10-16
Richards Bay, 3900, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-10-16
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Our client is seeking an exceptional Senior Deep Learning Engineer to join their fully remote team, contributing to groundbreaking advancements in artificial intelligence. This role is for an individual passionate about pushing the limits of deep learning models and applying them to solve complex challenges. You will work independently and collaboratively within a distributed team, focusing on research, development, and implementation of cutting-edge deep learning solutions.
This is an ideal position for a seasoned engineer who thrives in a remote setting and is dedicated to innovation in the AI space, working on projects that have a significant global impact.
- Design, develop, and optimize deep learning models for various applications, including computer vision and natural language processing.
- Implement and fine-tune neural network architectures for maximum performance and efficiency.
- Conduct experiments, analyze results, and iterate on models to achieve state-of-the-art performance.
- Collaborate with research scientists and engineers to translate research breakthroughs into production-ready code.
- Develop and maintain scalable deep learning training and inference pipelines.
- Stay current with the latest advancements in deep learning research and methodologies.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on deep learning.
- 5+ years of professional experience in deep learning research and development.
- Expertise in deep learning frameworks such as Tensor Flow, PyTorch, or JAX.
- Strong proficiency in Python and experience with libraries for scientific computing and data analysis.
- Solid understanding of machine learning theory, statistical modeling, and data structures.
- Proven ability to work effectively in a remote, self-directed environment.
- Highly competitive compensation package with equity options.
- Full remote work flexibility, allowing you to work from anywhere.
- Comprehensive health, dental, and vision insurance coverage.
- Generous allowance for home office setup and professional development.
- Opportunity to work on challenging and impactful AI projects.
- A culture that values autonomy, innovation, and continuous learning.
Position Requirements
10+ Years
work experience
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