Reinforcement Learning ML Engineer — Paarl & Advanced Research

Placements24; Paarl; Presencial; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement planning

Professional development opportunities

Descripción de la vacante

Placements24 is seeking a Machine Learning Engineer specialized in Reinforcement Learning (RL) to join our Paarl team in the Western Cape. You will design, implement, and optimize RL algorithms for complex problems, collaborating with engineers and domain experts to push the boundaries of intelligent automation.

The role requires a strong RL background, advanced degrees, and 3+ years of ML experience with RL, plus proficiency in Python and libraries such as TensorFlow, PyTorch, and RLlib.

Formación

• Master's or PhD in CS, AI, Robotics or related with RL focus
• 3+ years of ML experience with RL emphasis
• Strong RL theory: Q-learning, policy gradients, value functions
• Proficiency in Python and ML/RL libraries
• Experience with simulation environments (OpenAI Gym, MuJoCo desirable)
• Git and software engineering practices

Responsabilidades

• Design, develop, and implement RL algorithms and frameworks for optimization/control
• Train and evaluate RL agents using simulations and real data
• Research and apply deep/model-based/multi-agent RL techniques
• Collaborate with domain experts and engineers to define RL problem spaces
• Optimize RL model performance for efficiency, stability, scalability
• Stay updated with RL research and advancements
• Contribute to testing/validation methodologies for RL systems
• Mentor junior engineers in reinforcement learning

Conocimientos

Reinforcement Learning

Problem solving

Analytical skills

Communication & collaboration

Educación

Master's or PhD in CS/AI/Robotics

Herramientas

Python

TensorFlow

PyTorch

Ray RLlib

Stable Baselines

Descripción del empleo

Placements24 is seeking a Machine Learning Engineer specialized in Reinforcement Learning (RL) to join our Paarl team in the Western Cape. You will design, implement, and optimize RL algorithms for complex problems, collaborating with engineers and domain experts to push the boundaries of intelligent automation.

The role requires a strong RL background, advanced degrees, and 3+ years of ML experience with RL, plus proficiency in Python and libraries such as TensorFlow, PyTorch, and RLlib.