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 robust 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 algorithms
Develop and maintain RL settings and simulation platforms
Apply RL to control, optimization, and autonomous decision-making problems
Optimize RL agents for performance, stability, and efficiency




Deploy and operationalize RL solutions in production

Requirements:
Master's or Ph.D. in a related quantitative field
Five-plus years of AI/ML experience specializing in Reinforcement Learning
Experience applying Q-learning, Policy Gradients, or Actor-Critic algorithms
Proficiency in Python and TensorFlow or PyTorch
Robust mathematics, statistics, optimization, and communication skills

Apply senior Reinforcement Learning expertise, Python programming, and algorithmic thinking to remote AI engineering projects with practical impact.
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📌 Senior Reinforcement Learning Engineer Kimberley
🏢 Placements24
📍 Kimberley