Deep Learning Engineer

Placements24; Upington; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Health and wellness benefits

Retirement savings plan

Growth opportunities

Job summary

Placements24 is seeking a Deep Learning Engineer to join its R&D team. The role involves designing, implementing, and optimizing deep learning models for diverse applications, working with large datasets and state-of-the-art architectures.

You will collaborate with researchers and engineers to deploy DL solutions in production. The ideal candidate has a strong foundation in deep learning, 3+ years of hands-on experience, and proficiency in Python and major DL frameworks.

Qualifications

• Master's or Ph.D. in Computer Science, AI or related field.
• 3+ years of hands-on deep learning research and development.
• Strong programming skills in Python and deep learning frameworks.
• Solid understanding of CNNs, RNNs, Transformers and optimization techniques.
• Experience with data manipulation and model deployment is a plus.

Responsibilities

• Develop, train, and evaluate deep learning models for image, NLP, or predictive tasks.
• Implement and optimize neural networks using TensorFlow, PyTorch, or Keras.
• Preprocess and manage large-scale datasets for training and validation.
• Collaborate with AI researchers and software engineers to deploy DL solutions.
• Stay updated with the latest AI research and advancements.

Skills

Python programming

Deep learning

DL frameworks

CNNs/RNNs/Transformers

Data manipulation

Model deployment

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Keras

Job description

About the Role

Our client is seeking a highly skilled and motivated Deep Learning Engineer to join their cutting-edge R&D team in Mahikeng . This role is focused on designing, implementing, and optimizing deep learning models for a variety of challenging applications. You will work with large datasets, state-of-the-art neural network architectures, and advanced computational resources to push the boundaries of artificial intelligence. If you are passionate about building intelligent systems and have a strong foundation in deep learning, this is an exceptional opportunity to make a significant impact.

Key Responsibilities

• Develop, train, and evaluate deep learning models for tasks such as image recognition, natural language processing, or predictive modeling.
• Implement and optimize neural network architectures using deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Preprocess and manage large-scale datasets for model training and validation.
• Collaborate with AI researchers and software engineers to integrate deep learning solutions into production environments.
• Stay abreast of the latest research and advancements in deep learning and artificial intelligence.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
• 3+ years of hands-on experience in deep learning research and development.
• Strong programming skills in Python and experience with deep learning frameworks.
• Solid understanding of neural network theory, various architectures (CNNs, RNNs, Transformers), and optimization techniques.
• Experience with data manipulation, feature engineering, and model deployment is a plus.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Retirement savings plan.
• Significant opportunities for professional growth and skill enhancement.
• A dynamic, research-focused work environment fostering innovation in AI.