Deep Learning Engineer - Generative AI

Placements24; East London; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary with bonuses

Professional development budget

Health insurance

Retirement plan

Generous PTO

Home office setup allowance

Access to computing resources

Job summary

Unknown AI Research Lab in a fully remote role seeks a talented Deep Learning Engineer specializing in Generative AI to design, train, and optimize cutting-edge models. You will work with a global team to push the boundaries of text, image, and code generation.

You will implement GANs, VAEs, Transformers, and diffusion models, manage large datasets, and contribute to production-ready platforms while staying up to date with research.

Qualifications

• Advanced degree in a related field with strong research orientation.
• Proven experience with generative models (GANs/VAEs/Transformers).
• Proficient Python programming and DL framework expertise.
• Experience with large-scale data handling and cloud infrastructure.

Responsibilities

• Design, train, and optimize generative DL models for text, image, and code tasks.
• Experiment with GANs, VAEs, Transformers, and diffusion models.
• Improve performance, efficiency, and scalability for large datasets.
• Collaborate with researchers to integrate AI capabilities into products.
• Stay up-to-date with the latest research and publish findings.

Skills

Deep learning

Generative AI

Python

TensorFlow

PyTorch

Mathematics

Communication

Education

Master's or Ph.D. in CS/AI/ML

Tools

TensorFlow

PyTorch

Keras

Hugging Face Transformers

AWS

Azure

GCP

Job description

About the Role Our client, a cutting-edge AI research lab, is seeking a talented Deep Learning Engineer with a focus on Generative AI to join their fully remote team. This role is at the forefront of creating novel AI models capable of generating realistic and creative content, including text, images, and code. You will be responsible for designing, implementing, and optimizing state-of-the-art generative models, contributing to groundbreaking advancements in the field. As a fully remote position, you will have the flexibility to work from anywhere while collaborating with a diverse and highly skilled international team. We are looking for an enthusiastic individual with a strong theoretical understanding of deep learning and practical experience with generative models such as GANs, VAEs, and Transformers. Your work will directly impact the development of next-generation AI applications and platforms, pushing the boundaries of artificial intelligence. The ideal candidate is passionate about innovation, possesses excellent problem-solving skills, and thrives in a fast-paced, research-oriented environment.

Key Responsibilities

• Design, develop, and train advanced deep learning models for generative tasks (e.g., image generation, text generation, style transfer).
• Implement and experiment with various generative model architectures (GANs, VAEs, Transformers, Diffusion Models).
• Optimize model performance, efficiency, and scalability for large-scale training and inference.
• Process and manage large datasets for training generative models.
• Collaborate with researchers and engineers to integrate generative AI capabilities into products and platforms.
• Stay current with the latest research and advancements in deep learning and generative AI.
• Conduct rigorous evaluation and testing of generative models.
• Contribute to code quality, documentation, and best practices within the team.
• Debug and troubleshoot complex model training and deployment issues.
• Present research findings and technical progress to the team and stakeholders.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in deep learning, with a focus on generative models.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning principles, algorithms, and mathematical foundations.
• Experience with libraries relevant to generative AI (e.g., Hugging Face Transformers, KerasCV).
• Familiarity with data handling, preprocessing, and augmentation techniques for various data types.
• Experience with cloud computing platforms (AWS, Azure, GCP) for AI workloads is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills, highly effective in a remote setting.
• Ability to work independently and manage time effectively.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Fully remote work arrangement offering maximum flexibility and work-life balance.
• Opportunity to work on cutting-edge generative AI research and development.
• Generous budget for professional development, including conferences and training courses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company contributions.
• Ample paid time off and company holidays.
• Home office setup allowance to create an optimal workspace.
• Collaborative and innovative global team environment.
• Access to powerful computing resources for AI model training.