On-Site RL Engineer: Reinforcement Learning Innovator

Placements24; Mossel Bay; On-site; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Health benefits

Retirement contributions

Generous paid time off

Professional development

Job summary

Placements24 in Mossel Bay, Western Cape, invites applications for an AI Engineer specializing in Reinforcement Learning. You will design and implement RL algorithms, develop simulations, and collaborate across research and product teams to push autonomous systems forward.

The role is on-site in Mossel Bay, offering hands-on project work, access to advanced research facilities, and opportunities to contribute to cutting-edge AI applications in a dynamic environment in South Africa.

Qualifications

• Degree in computer science, AI, engineering or related field.
• 2+ years in AI/ML with a focus on RL.
• Strong RL concepts: Q-learning, policy gradients, actor-critic.
• Proficient in Python and ML/RL frameworks.
• Experience building agents in simulation environments.

Responsibilities

• Design, implement and evaluate RL algorithms and agents.
• Develop simulations and training environments for RL models.
• Collaborate with researchers and engineers to deploy RL solutions.
• Stay updated on RL and AI advancements.
• Analyze results to guide model improvements.
• Document technical details and contribute to knowledge sharing.

Skills

Reinforcement Learning

Python

Model Training & Evaluation

Research & Experimentation

Communication

Education

Bachelor's or Master's in CS/AI/Engineering

Tools

TensorFlow

PyTorch

Stable-Baselines

Ray RLlib

Job description

Placements24 in Mossel Bay, Western Cape, invites applications for an AI Engineer specializing in Reinforcement Learning. You will design and implement RL algorithms, develop simulations, and collaborate across research and product teams to push autonomous systems forward.

The role is on-site in Mossel Bay, offering hands-on project work, access to advanced research facilities, and opportunities to contribute to cutting-edge AI applications in a dynamic environment in South Africa.