Senior AI/ML Engineer - Reinforcement Learning

About the Role

Our client, a pioneer in the field of AI & Emerging Technologies , is seeking a highly experienced Senior AI/ML Engineer with a specialized focus on Reinforcement Learning (RL). This critical role is based in our cutting-edge facility in Randburg, Gauteng . You will be at the forefront of developing intelligent agents and systems capable of learning and making optimal decisions in complex environments. The ideal candidate possesses a strong theoretical understanding of RL algorithms combined with practical experience in implementing and deploying them. This is an exceptional opportunity to contribute to groundbreaking research and development in a dynamic and innovative setting in Randburg . We foster a culture of continuous learning and technological advancement.

Key Responsibilities

• Design, implement, and optimize state-of-the‑art reinforcement learning algorithms.
• Develop simulation environments and frameworks for training and evaluating RL agents.
• Collaborate with cross‑functional teams to integrate RL solutions into various products and services.
• Conduct research into advanced RL topics, including deep RL, multi‑agent RL, and model‑based RL.
• Ensure the scalability, efficiency, and robustness of RL systems.
• Stay updated on the latest research and industry trends in reinforcement learning and AI.
• Mentor junior engineers and contribute to the team's technical expertise.
• Analyze experimental results and provide actionable insights for model improvement.
• Contribute to the documentation and knowledge sharing within the team.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
• Proven experience (5+ years) in developing and implementing reinforcement learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Proficiency with RL libraries and tools (e.g., Ray RLLib, Stable Baselines).
• Solid understanding of machine learning, deep learning, and optimization techniques.
• Experience with simulation environments and parallel computing is a plus.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and collaboration skills, vital for working within our Randburg team.
• Ability to work independently and take initiative on complex projects.

Benefits

Our client offers a highly competitive salary, comprehensive health benefits, retirement savings options, and performance-driven bonuses. Opportunities for professional development, including attending leading AI conferences and pursuing further education, are actively supported. This hybrid role, based in Randburg, Gauteng , provides a dynamic work environment with flexibility. Join a team dedicated to advancing the frontiers of AI & Emerging Technologies .

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