Remote Generative AI Engineer: Build Next‑Gen Models

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

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.