Design advanced Reinforcement Learning algorithms remotely, using Python and deep learning frameworks to solve complex optimization and control tasks. Contribute from anywhere.This Senior AI Engineer role focuses on Reinforcement Learning across robotics, gaming, and resource management. You will apply RL theory, practical techniques, and solid programming skills to challenging problems. The work includes research, simulation, deployment, and technical collaboration.Key Responsibilities: Design, implement, and evaluate state-of-the-art Reinforcement Learning algorithmsDevelop and maintain RL environments and simulation platformsApply RL to control, optimization, and autonomous decision-making problemsOptimize RL agents for performance, stability,



and efficiencyDeploy and operationalize RL solutions in productionRequirements: Master's or Ph. D. in a related quantitative fieldFive-plus years of AI/ML experience specializing in Reinforcement LearningExperience applying Q-learning, Policy Gradients, or Actor-Critic algorithmsProficiency in Python and Tensor Flow or Py TorchStrong mathematics, statistics, optimization, and communication skillsApply senior Reinforcement Learning expertise, Python programming, and algorithmic thinking to remote AI engineering projects with practical impact.#J-18808-Ljbffr

📌 Senior Reinforcement Learning Engineer (Kimberley)
🏢 Placements24
📍 Kimberley