Lead AI Engineer - Reinforcement Learning

Our client is searching for an experienced Lead AI Engineer with a specialization in Reinforcement Learning (RL) to join their innovative team in
** Mossel Bay, Western Cape**. This senior position involves leading the design, development, and implementation of advanced RL algorithms and systems. You will be instrumental in driving cutting-edge AI projects, tackling complex challenges in areas such as robotics, game AI, and optimization. The role offers a
** hybrid
* * work arrangement, combining essential in-office collaboration with the flexibility of remote work. This is an outstanding opportunity to contribute to pioneering AI research and development in a beautiful coastal setting. We are seeking a visionary leader who can guide a team of talented engineers and researchers, pushing the boundaries of intelligent systems. Your expertise will be vital in developing next-generation AI solutions.

• Lead the design, development, and deployment of reinforcement learning models and applications.
• Mentor and guide a team of AI/ML engineers and researchers.
• Define technical strategy and roadmap for RL initiatives.
• Conduct advanced research in RL algorithms and their practical applications.
• Develop and optimize RL training environments and simulations.
• Collaborate with cross-functional teams to integrate RL solutions into products and services.
• Ensure the scalability, robustness, and efficiency of RL systems.
• Stay current with the latest research and advancements in RL and AI.
• Publish research findings and present work at conferences.
• Foster a culture of innovation, collaboration, and continuous improvement within the AI team.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on Reinforcement Learning.
• 5+ years of experience in AI/ML engineering, with a strong specialization in Reinforcement Learning.
• Proven track record of leading technical teams and projects.
• Expertise in Python and RL libraries (e.g., Ray RLlib, Stable Baselines, OpenAI Gym).
• Strong theoretical understanding of RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Experience with deep learning frameworks (Tensor Flow, PyTorch).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership and communication abilities.
• Experience working in a
  ** hybrid
  * * environment, with a willingness to collaborate from the
  ** Mossel Bay, Western Cape
  ** office.
• Demonstrated ability to deliver complex AI projects successfully.

• Our client offers a highly competitive salary package, comprehensive health benefits, and retirement savings plans.
• Employees benefit from a generous professional development budget for training, certifications, and conference attendance.
• The
  ** hybrid
  * * work model provides a balance between office collaboration and remote flexibility.
• Enjoy working in a dynamic team environment in scenic
  ** Mossel Bay, Western Cape**, with opportunities for career advancement and impact.
• We also offer relocation assistance for candidates moving to the area.
• Team social events and a strong emphasis on work-life balance are key aspects of our company culture.