Deep Learning Engineer

About the Role

Our client is looking for a skilled Deep Learning Engineer to join their research and development team in Klerksdorp . This role focuses on designing, building, and optimizing deep learning models for advanced applications. You will work in a hybrid setting, collaborating with researchers and software engineers to push the boundaries of what's possible with neural networks and AI. This is an excellent opportunity to contribute to transformative projects within AI & Emerging Technologies and grow your expertise in a supportive and innovative environment.

• Develop and implement state-of-the-art deep learning models for tasks such as image recognition, natural language processing, and time-series analysis.
• Train, fine-tune, and evaluate deep neural networks using large datasets.
• Optimize model architectures and training processes for performance and efficiency.
• Collaborate with data scientists and software engineers to integrate deep learning models into production systems.
• Stay current with the latest research and advancements in deep learning.
• Contribute to the development of internal tools and libraries for deep learning experimentation.

• Master's or Ph.D. in Computer Science, AI, or a related field with a focus on deep learning.
• Strong experience with deep learning frameworks like Tensor Flow, PyTorch, or Keras.
• Proficiency in Python and experience with relevant libraries (Num Py, Pandas).
• Solid understanding of various neural network architectures (CNNs, RNNs, Transformers).
• Experience with GPU computing and distributed training is a plus.
• Strong analytical and problem-solving capabilities.

• Competitive salary and potential for bonuses.
• Hybrid work model providing work-life balance.
• Comprehensive health benefits package.
• Support for continuous learning and conference attendance.
• Access to high-performance computing resources.
• Engaging projects at the cutting edge of AI research.