Senior AI/ML Engineer - Reinforcement Learning

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

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

About the Role

Our client, a pioneer in the field of AI & Emerging Technologies , is seeking a highly experienced Senior AI/ML Engineer with a specialized focus on Reinforcement Learning (RL). This critical role is based in our cutting-edge facility in Randburg, Gauteng . You will be at the forefront of developing intelligent agents and systems capable of learning and making optimal decisions in complex environments. The ideal candidate possesses a strong theoretical understanding of RL algorithms combined with practical experience in implementing and deploying them. This is an exceptional opportunity to contribute to groundbreaking research and development in a dynamic and innovative setting in Randburg . We foster a culture of continuous learning and technological advancement.

Key Responsibilities

• Design, implement, and optimize state-of-the-art reinforcement learning algorithms.
• Develop simulation environments and frameworks for training and evaluating RL agents.
• Collaborate with cross-functional teams to integrate RL solutions into various products and services.
• Conduct research into advanced RL topics, including deep RL, multi-agent RL, and model-based RL.
• Ensure the scalability, efficiency, and robustness of RL systems.
• Stay updated on the latest research and industry trends in reinforcement learning and AI.
• Mentor junior engineers and contribute to the team's technical expertise.
• Analyze experimental results and provide actionable insights for model improvement.
• Contribute to the documentation and knowledge sharing within the team.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
• Proven experience (5+ years) in developing and implementing reinforcement learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Proficiency with RL libraries and tools (e.g., Ray RLLib, Stable Baselines).
• Solid understanding of machine learning, deep learning, and optimization techniques.
• Experience with simulation environments and parallel computing is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, vital for working within our Randburg team.
• Ability to work independently and take initiative on complex projects.

Benefits

• Our client offers a highly competitive salary, comprehensive health benefits, retirement savings options, and performance-driven bonuses.
• Opportunities for professional development, including attending leading AI conferences and pursuing further education, are actively supported.
• This hybrid role, based in Randburg, Gauteng , provides a dynamic work environment with flexibility.
• Join a team dedicated to advancing the frontiers of AI & Emerging Technologies .