Senior RL AI Engineer — On‑Site Benoni, Drive Next‑Gen AI

Placements24; Benoni; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health insurance options

Relocation assistance

Professional development opportunities

Paid time off

Team events

Stock options

Job summary

Placements24 in Benoni, Gauteng, SA is seeking a Senior AI Engineer specializing in Reinforcement Learning to design and deploy RL algorithms in real-world environments. You will collaborate with researchers and engineers to tackle challenging problems and drive innovation.

The role requires 4+ years in AI/ML with RL, strong Python skills, and hands-on experience with TensorFlow or PyTorch. On-site presence in Benoni is essential to integrate with projects and teams.

Qualifications

• Master's or PhD in Computer Science, AI, Robotics or related field.
• 4+ years of AI/ML experience with reinforcement learning.
• Strong Python programming skills.
• Hands-on experience with TensorFlow or PyTorch and RL libraries.

Responsibilities

• Design, develop, and implement reinforcement learning algorithms and systems.
• Train and evaluate RL agents in simulated and real environments.
• Collaborate with researchers to explore new RL methodologies.
• Optimize RL algorithms for performance, stability, and sample efficiency.
• Integrate RL solutions into product frameworks.
• Develop robust simulation environments for training and testing RL agents.
• Analyze experimental results and provide actionable insights.
• Stay current with RL and AI research advancements.
• Mentor junior engineers and contribute to the team's growth.
• Document algorithms, code, and project findings thoroughly.

Skills

Strong coding

Python programming

Analytical thinking

Teamwork & communication

Education

Master's or PhD in CS/AI/Robotics

Tools

TensorFlow

PyTorch

Stable Baselines

Ray RLlib

Job description

Placements24 in Benoni, Gauteng, SA is seeking a Senior AI Engineer specializing in Reinforcement Learning to design and deploy RL algorithms in real-world environments. You will collaborate with researchers and engineers to tackle challenging problems and drive innovation.

The role requires 4+ years in AI/ML with RL, strong Python skills, and hands-on experience with TensorFlow or PyTorch. On-site presence in Benoni is essential to integrate with projects and teams.