Deep Learning Engineer

Our client, a leading firm in the AI & Emerging Technologies domain, is seeking a skilled Deep Learning Engineer to join their innovative team in Sandton, Gauteng. This hybrid role is focused on the design, implementation, and optimization of deep learning models for various applications. You will work on challenging projects that push the boundaries of AI, contributing to the development of intelligent systems.

This is an excellent opportunity to apply your expertise in a dynamic and growth-oriented environment. You will collaborate with a talented team of researchers and engineers, translating theoretical concepts into practical, high-performance solutions. The ideal candidate has a strong theoretical understanding of deep learning and practical experience in building and deploying models. Your work will be critical in advancing our client's capabilities in areas such as computer vision, natural language processing, and predictive analytics.

We are looking for a creative problem-solver eager to contribute to groundbreaking AI advancements.

• Develop, train, and fine-tune deep learning models using state-of-the-art frameworks (e.g., Tensor Flow, PyTorch).
• Implement algorithms for tasks such as image recognition, natural language understanding, and sequence modeling.
• Process and prepare large datasets for model training.
• Optimize model performance for efficiency and scalability.
• Collaborate with software engineers to integrate deep learning models into production systems.
• Conduct experiments to evaluate model performance and identify areas for improvement.
• Stay current with the latest research and advancements in deep learning and AI.
• Document models, experiments, and results thoroughly.
• Contribute to the overall AI strategy and research initiatives.

• Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
• Proven experience in developing and implementing deep learning models.
• Strong programming skills in Python and experience with deep learning libraries.
• Solid understanding of machine learning principles and algorithms.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication and teamwork skills.
• Comfortable working in a hybrid model.

• Our client offers a competitive salary, a comprehensive benefits package including health, dental, and vision insurance, and retirement planning options.
• Professional development opportunities, including training and conference attendance, are provided.
• Employees enjoy a vibrant, innovative, and collaborative work culture.
• Work-life balance is valued, with generous paid time off.
• This hybrid role offers flexibility, combining remote work with in-office collaboration in Sandton.