Senior AI Engineer - Generative Models

Placements24; Benoni; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Hybrid work

Professional development

Job summary

Placements24 seeks a Senior AI Engineer in Benoni, Gauteng, to research, design, and implement advanced generative AI models. You will work with GANs, VAEs, diffusion models, and transformers to generate realistic content and drive product features.

The role combines hands-on development with collaboration across teams in a hybrid office environment that balances in-person sessions with remote work.

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML or related field.
• 4+ years of AI/ML engineering experience focusing on generative models.
• Strong Python skills and experience with TensorFlow or PyTorch.

Responsibilities

• Research, design, and implement advanced generative AI models (GANs, VAEs, diffusion models, LLMs).
• Develop and optimize content generation algorithms (images, text, audio).
• Collaborate with product managers/designers to define capabilities of generative AI features.

Skills

Python

TensorFlow

PyTorch

Generative modeling

GANs

VAEs

Transformers

Cloud platforms

Data augmentation

Hybrid collaboration

Education

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

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Our client, a dynamic technology startup focused on creative AI applications, is seeking an experienced Senior AI Engineer specializing in Generative Models to join their team in Benoni, Gauteng . This role is pivotal in researching, developing, and implementing cutting-edge generative AI techniques to create novel content and solutions. You will work with state-of-the‑art models like GANs, VAEs, and Transformers to generate realistic and imaginative outputs. The ideal candidate is a hands‑on engineer with a deep understanding of deep learning, a passion for generative AI, and a proven ability to build and deploy complex AI systems. This hybrid role balances collaborative in‑office sessions with the flexibility of remote work.

Key Responsibilities

• Research, design, and implement advanced generative AI models, including GANs, VAEs, diffusion models, and large language models.
• Develop and optimize algorithms for generating realistic and creative content (e.g., images, text, audio).
• Collaborate with product managers and designers to define the capabilities and applications of generative AI features.
• Build and maintain scalable pipelines for training and deploying generative models.
• Evaluate model performance, identify limitations, and propose improvements.
• Stay current with the latest research in generative AI and related fields.
• Work with large datasets to train and fine‑tune generative models.
• Contribute to the technical roadmap and strategy for AI development within the company.
• Ensure responsible AI development practices are followed, particularly concerning ethical considerations and potential biases.
• Mentor junior engineers and share knowledge within the AI team.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 4+ years of experience in AI/ML engineering, with a specific focus on generative models.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proven experience in developing, training, and evaluating GANs, VAEs, or similar generative architectures.
• Familiarity with large language models and their applications.
• Excellent understanding of deep learning principles and mathematical foundations.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.
• Strong problem‑solving and analytical skills.
• Good communication and collaboration skills, able to work effectively in a hybrid environment.
• Experience with data augmentation and manipulation techniques.

Benefits

• Our client offers a competitive salary and a comprehensive benefits package.
• This includes health, dental, and vision insurance.
• We provide generous paid time off and flexible working arrangements suitable for a hybrid model.
• Opportunities for professional development are extensive, including access to cutting‑edge research, training programs, and conferences.
• The company culture in Benoni, Gauteng , is highly innovative and collaborative, offering a stimulating environment for AI enthusiasts.