Senior RL Engineer — Hybrid (Randburg)

Placements24

Randburg

Hybrid

ZAR 1,200,000 - 2,000,000

Full time

6 days ago
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Benefits offered by this job

Competitive salary
Comprehensive health benefits
Retirement savings options
Performance bonuses
Professional development support
Hybrid work model in Randburg

Job summary

Placements24 is seeking a Senior AI/ML Engineer specializing in reinforcement learning for our Randburg facility. You will design and deploy advanced RL systems, build simulation environments, and collaborate with cross-functional teams to integrate AI solutions across products.

You will stay updated on latest RL research and contribute to publications, conferences, and internal knowledge sharing. The role requires a Masters or PhD and 5+ years of RL experience, strong Python and deep learning

Qualifications

  • Master's or PhD in CS, AI, robotics or related quantitative field.
  • 5+ years of RL development experience.
  • Strong Python programming and DL frameworks (TensorFlow, PyTorch).
  • Experience with RL libraries (Ray RLLib, Stable Baselines).
  • Experience with simulation environments and parallel computing.

Responsibilities

  • Design, implement, and optimize RL algorithms.
  • Develop simulation environments for training RL agents.
  • Collaborate with cross-functional teams to deploy RL solutions.
  • Research advanced RL topics including deep RL, multi-agent RL, model-based RL.
  • Ensure scalability, efficiency and robustness of RL systems.
  • Mentor junior engineers and share knowledge.
  • Analyze results and provide insights for model improvement.
  • Document findings and contribute to team knowledge.

Skills

Reinforcement Learning
Python
Deep Learning
Ray RLlib
Stable Baselines

Education

Masters or PhD in CS/AI/Robotics

Tools

Python
TensorFlow
PyTorch
Ray RLlib
Stable Baselines

Job description

Placements24 is seeking a Senior AI/ML Engineer specializing in reinforcement learning for our Randburg facility. You will design and deploy advanced RL systems, build simulation environments, and collaborate with cross-functional teams to integrate AI solutions across products.

You will stay updated on latest RL research and contribute to publications, conferences, and internal knowledge sharing. The role requires a Masters or PhD and 5+ years of RL experience, strong Python and deep learning

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