Senior AI Engineer: Deep Learning & Neural Nets (Remote)

Placements24; LegKraal Gate; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Performance incentives

Health benefits

Professional development

Job summary

WhatJobs Direct is seeking a Senior AI Engineer specializing in Deep Learning and Neural Networks to join our innovative team in a fully remote role. You will design, develop, and deploy advanced models for computer vision, NLP, and analytics from anywhere in South Africa.

The ideal candidate has a PhD or Master's in a quantitative field, 5+ years in industry, and strong Python skills with TensorFlow, PyTorch, or Keras. Collaboration and independent project management are essential.

Qualifications

• Master's or PhD in CS/AI/ML or related field.
• 5+ years in developing and deploying DL models.
• Proficient in Python with DL frameworks (TensorFlow, PyTorch, Keras).
• Experience with data manipulation libraries (NumPy, pandas).
• Cloud platforms (AWS/Azure/GCP) and MLOps knowledge.
• Strong analytical and communication skills.

Responsibilities

• Design, implement, and train deep learning models (CNNs, RNNs, Transformers, GANs).
• Develop and optimize neural networks for AI tasks.
• Prepare and preprocess large datasets for training/evaluation.
• Collaborate with data scientists and engineers to deploy models.
• Experiment, analyze results, and iterate to improve performance.
• Stay updated with AI research and advancements.
• Write clean, documented Python code and contribute to AI strategy.

Skills

Python

Deep learning

TensorFlow

PyTorch

Keras

NLP

Computer Vision

Education

Master's or PhD in Computer Science/AI/ML

Tools

NumPy

pandas

Job description

WhatJobs Direct is seeking a Senior AI Engineer specializing in Deep Learning and Neural Networks to join our innovative team in a fully remote role. You will design, develop, and deploy advanced models for computer vision, NLP, and analytics from anywhere in South Africa.

The ideal candidate has a PhD or Master's in a quantitative field, 5+ years in industry, and strong Python skills with TensorFlow, PyTorch, or Keras. Collaboration and independent project management are essential.