AI Engineer - Reinforcement Learning Specialist

Placements24; Mossel Bay; Presencial; ZAR 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Retirement contributions

Generous paid time off

Professional development

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Reinforcement Learning

Python

Model Training & Evaluation

Research & Experimentation

Communication

Educación

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

Herramientas

TensorFlow

PyTorch

Stable-Baselines

Ray RLlib

Descripción del empleo

About the Role

Our client, a cutting-edge firm in the AI & Emerging Technologies sector, is seeking an ambitious AI Engineer with specialized expertise in Reinforcement Learning (RL) to join their team in **Mossel Bay, Western Cape**. This role is central to developing and implementing advanced RL algorithms for complex decision-making problems across various applications. You will be working in a hands‑on capacity, pushing the boundaries of intelligent systems and contributing directly to the innovation pipeline. This is an on‑site position, emphasizing collaborative development and direct access to our advanced research facilities in the picturesque **Western Cape**.

The ideal candidate will possess a deep theoretical understanding of RL principles and practical experience in applying them to real‑world scenarios. You will collaborate closely with a dedicated team of researchers and engineers, fostering a high‑performance environment focused on achieving breakthroughs. Your contributions will be critical in shaping the future of autonomous systems and intelligent automation. Working from our **Mossel Bay** location allows for focused development in a unique setting, contributing to the technological advancement within **South Africa**.

Key Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms and agents.
• Develop simulations and environments for training and testing RL models.
• Collaborate with the team to integrate RL solutions into existing or new product lines.
• Research and stay updated on the latest advancements in reinforcement learning and artificial intelligence.
• Optimize RL algorithms for efficiency, scalability, and performance.
• Analyze simulation results and real‑world data to guide model improvements.
• Contribute to technical documentation and knowledge sharing within the team.
• Troubleshoot and debug complex AI systems.
• Experiment with different RL frameworks and libraries.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related quantitative field.
• 2+ years of experience in AI/ML development, with a specific focus on Reinforcement Learning.
• Solid understanding of RL concepts (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Proficiency in Python and experience with ML/RL libraries (e.g., TensorFlow, PyTorch, Stable-Baselines, Ray RLlib).
• Experience in building and training agents in simulation environments.
• Strong analytical and problem‑solving skills.
• Ability to work independently and as part of a team.
• Good communication skills for reporting progress and technical discussions.
• Familiarity with software development best practices.
• Experience with cloud platforms is a plus.

Benefits

Our client offers a competitive salary commensurate with experience, along with potential performance bonuses. Employees receive comprehensive health benefits, retirement contributions, and generous paid time off. We are committed to professional development, providing access to training, workshops, and opportunities to attend industry conferences. The **Mossel Bay, Western Cape** office offers a stimulating work environment, and the company culture encourages innovation and collaboration. This role provides a fantastic opportunity to specialize in a highly sought‑after field within AI.