Senior AI Engineer - Deep Learning & Neural Networks

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

About the Role

WhatJobs Direct is seeking a highly skilled Senior AI Engineer with a specialization in Deep Learning and Neural Networks to join our innovative team. This role is a fully remote position, offering the flexibility to work from anywhere within Mahikeng, North West, ZA, or across South Africa. You will be instrumental in designing, developing, and deploying advanced deep learning models to tackle complex challenges in areas such as computer vision, natural language processing, and predictive analytics. The ideal candidate possesses a strong theoretical understanding of neural networks and extensive practical experience in building and training deep learning systems. You will collaborate with a talented team of researchers and engineers, contributing to cutting‑edge AI solutions. Our client is committed to pushing the boundaries of artificial intelligence, and this role provides a unique opportunity to make a significant impact and advance your career in a dynamic, remote‑first environment. We are looking for individuals who are passionate about AI innovation, possess strong problem‑solving skills, and thrive in a collaborative, virtual setting. Your expertise will be key in developing the next generation of intelligent systems.

Key Responsibilities

• Design, implement, and train deep learning models, including CNNs, RNNs, LSTMs, Transformers, and GANs.
• Develop and optimize neural network architectures for specific AI tasks.
• Process, clean, and prepare large datasets for model training and evaluation.
• Collaborate with data scientists and software engineers to integrate deep learning models into production systems.
• Conduct experiments, analyze results, and iterate on models to improve performance and accuracy.
• Stay current with the latest research and advancements in deep learning and AI.
• Optimize models for performance, efficiency, and deployment on various platforms.
• Write clean, efficient, and well‑documented code in Python or other relevant languages.
• Contribute to the technical vision and strategy for AI development.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying deep learning models in a professional setting.
• Strong programming skills in Python, with extensive experience using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning principles, algorithms, and data structures.
• Experience with data manipulation and analysis libraries (e.g., NumPy, pandas).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly beneficial.
• Excellent analytical, problem‑solving, and critical thinking abilities.
• Strong communication and collaboration skills, essential for a remote team.
• Ability to work independently and manage project timelines effectively.

Benefits

• Highly competitive salary and performance incentives.
• Comprehensive health, dental, and vision coverage.
• Generous retirement savings plan.
• Fully remote work arrangement, promoting work‑life balance.
• Significant paid time off and company holidays.
• Opportunities for continuous professional development and training.
• Access to state‑of‑the‑art computational resources.
• A dynamic, innovative, and supportive virtual work culture.