Machine Learning Scientist - Deep Learning

Our client is seeking a highly innovative Machine Learning Scientist with expertise in Deep Learning to join their research and development team in Kimberley . This role involves pushing the boundaries of what's possible with deep neural networks, focusing on creating novel algorithms and models for complex problems. You will have the opportunity to work with substantial datasets and computational resources, translating research concepts into practical, high-impact AI solutions.

This position is ideal for a scientifically-minded individual passionate about making significant contributions to the field of AI.

• Conduct cutting-edge research and develop novel deep learning models and algorithms.
• Design and execute experiments to validate hypotheses and measure model performance rigorously.
• Implement and optimize deep learning architectures for tasks such as natural language processing, computer vision, or reinforcement learning.
• Analyze large datasets to extract insights and inform model development strategies.
• Collaborate with engineering teams to deploy and scale deep learning solutions in production environments.
• Stay abreast of the latest academic research and industry trends in deep learning and AI.

• PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 4+ years of research experience in deep learning and machine learning.
• Strong publication record in top-tier AI conferences and journals is a plus.
• Proficiency in Python and deep learning frameworks like Tensor Flow, PyTorch, or Keras.
• Experience with data analysis, scientific computing, and algorithm optimization.
• Excellent problem-solving abilities and a passion for scientific inquiry.

• Competitive salary and comprehensive benefits package.
• Opportunity to work on challenging AI research problems and publish findings.
• Hybrid work model providing flexibility in Kimberley .
• Access to significant computing resources and state-of-the-art tools.
• Support for conference attendance and continuous professional development.