Reinforcement Learning Engineer — Hybrid AI Innovator

Placements24; Bloemfontein; Hybrid; ZAR 720,000 - 960,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Hybrid work in Bloemfontein with some

Job summary

Placements24 invites a talented Machine Learning Engineer with expertise in Reinforcement Learning to join our team in Bloemfontein, Free State. You will design, implement, and deploy RL algorithms for complex decision‑making problems across diverse applications, contributing to intelligent systems that learn and adapt.

You will run experiments, optimize performance, and collaborate with software engineers and data scientists to integrate RL solutions into existing products.

Qualifications

• Master's or PhD in CS/AI or related quantitative field.
• Strong theoretical and practical RL knowledge and experience.
• Proficient in Python and ML libraries (TensorFlow, PyTorch, Gym).

Responsibilities

• Develop and implement advanced Reinforcement Learning algorithms and models.
• Design and conduct experiments to train and evaluate RL agents in simulated and real environments.
• Optimize RL algorithms for performance, scalability, and efficiency.
• Collaborate with software engineers and data scientists to integrate RL solutions.
• Analyze large datasets to inform model development.
• Stay updated with latest RL research and document results.
• Troubleshoot and debug complex ML systems.
• Present findings to technical and non-technical audiences.

Skills

Reinforcement Learning

Python programming

Problem solving

Communication

Team collaboration

Education

Master's or PhD in Computer Science or AI

Tools

TensorFlow

PyTorch

OpenAI Gym

Pandas

NumPy

Job description

Placements24 invites a talented Machine Learning Engineer with expertise in Reinforcement Learning to join our team in Bloemfontein, Free State. You will design, implement, and deploy RL algorithms for complex decision‑making problems across diverse applications, contributing to intelligent systems that learn and adapt.

You will run experiments, optimize performance, and collaborate with software engineers and data scientists to integrate RL solutions into existing products.