Reinforcement Learning AI Engineer – Hybrid (Paarl)

Placements24; Waukee (IA); Hybrid; USD 55,000 - 79,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid

Retirement fund options

Performance bonuses

Job summary

Placements24 is seeking an AI Developer focused on Reinforcement Learning to join a team in Paarl, Western Cape. You will design, implement and evaluate RL algorithms, train agents, and integrate models into existing systems while collaborating with researchers and engineers.

The ideal candidate has strong RL background, solid programming skills in Python, and experience with RL libraries and DL frameworks. A hybrid work setup is offered, with opportunities for growth in innovative AI projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Demonstrated experience or strong academic background in Reinforcement Learning.
• Proficiency in Python and RL libraries.

Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms (e.g., Q-learning, Deep Q-Networks, Policy Gradients).
• Develop and train RL agents for various simulation and real-world applications.
• Integrate RL models into existing software systems and platforms.
• Collaborate with researchers and engineers to define problems and develop solutions.
• Conduct experiments and analyze results to improve agent performance and efficiency.
• Stay up-to-date with the latest research and advancements in reinforcement learning and AI.
• Write clean, efficient, and well-documented code.
• Contribute to technical discussions and knowledge sharing within the team.

Skills

Reinforcement Learning

Python

OpenAI Gym

Stable Baselines

Ray RLlib

TensorFlow / PyTorch

Education

Bachelor’s or Master’s in CS/AI

Tools

OpenAI Gym

Stable Baselines

Ray RLlib

TensorFlow

PyTorch

Job description

Placements24 is seeking an AI Developer focused on Reinforcement Learning to join a team in Paarl, Western Cape. You will design, implement and evaluate RL algorithms, train agents, and integrate models into existing systems while collaborating with researchers and engineers.

The ideal candidate has strong RL background, solid programming skills in Python, and experience with RL libraries and DL frameworks. A hybrid work setup is offered, with opportunities for growth in innovative AI projects.