Senior AI Engineer - Reinforcement Learning Specialist

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

Benefits offered by this job

Competitive salary

Medical insurance

Retirement benefits

Performance bonuses

Flexible working

Professional development

Conference participation

Job summary

Placements24 in Vereeniging, Gauteng, is seeking a Senior AI Engineer specialized in reinforcement learning to design, implement, and optimize RL solutions for robotics, simulation, and optimization tasks.

You will lead development, mentor engineers, and collaborate with cross-functional teams to define requirements and advance the company’s AI initiatives while staying current with research advances in RL.

Qualifications

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related field with a focus on Reinforcement Learning.
• Minimum of 5 years of hands-on experience in developing and implementing RL algorithms.
• Strong theoretical understanding of RL concepts, including Q-learning, policy gradients, actor-critic methods, and deep RL.
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo, Isaac Gym).
• Familiarity with related AI fields such as supervised and unsupervised learning.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Experience with software development best practices.

Responsibilities

• Design, develop, and implement state-of-the-art reinforcement learning algorithms and models.
• Apply RL techniques to solve complex problems in robotics, simulation, and optimization.
• Collaborate with cross-functional teams to define project requirements and integrate RL solutions.
• Optimize RL agents for performance, efficiency, and stability in various environments.
• Conduct rigorous testing and validation of RL models and simulations.
• Stay current with the latest research and advancements in reinforcement learning and related AI fields.
• Mentor junior engineers and contribute to the team's technical growth in RL.
• Contribute to the research and development roadmap for AI applications.
• Document and present research findings and technical designs.

Education

Master's or PhD in Computer Science, Artificial Intelligence, Robotics, or related field with focus on Reinforcement Learning

Tools

Python

TensorFlow

PyTorch

Keras

OpenAI Gym

MuJoCo

Isaac Gym

Job description

About the Role

Our client, a pioneering firm in developing autonomous systems and intelligent automation, is looking for a Senior AI Engineer with specialized expertise in Reinforcement Learning (RL) to join their team in Vereeniging, Gauteng . This role is central to designing, implementing, and optimizing RL algorithms for complex decision-making processes in dynamic environments. You will work on challenging problems related to robotics, control systems, and optimization, contributing to the development of cutting‑edge AI applications. The ideal candidate will have a deep theoretical understanding of RL, coupled with practical experience in applying these techniques to real‑world scenarios. Be a key contributor to our client's advanced AI initiatives in Vereeniging, Gauteng .

Key Responsibilities

• Design, develop, and implement state-of-the‑art reinforcement learning algorithms and models.
• Apply RL techniques to solve complex problems in areas such as robotics, simulation, and optimization.
• Collaborate with cross‑functional teams to define project requirements and integrate RL solutions.
• Optimize RL agents for performance, efficiency, and stability in various environments.
• Conduct rigorous testing and validation of RL models and simulations.
• Stay current with the latest research and advancements in reinforcement learning and related AI fields.
• Mentor junior engineers and contribute to the team's technical growth in RL.
• Contribute to the research and development roadmap for AI applications.
• Document and present research findings and technical designs.

Requirements

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related field with a focus on Reinforcement Learning.
• Minimum of 5 years of hands‑on experience in developing and implementing RL algorithms.
• Strong theoretical understanding of RL concepts, including Q‑learning, policy gradients, actor‑critic methods, and deep RL.
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo, Isaac Gym).
• Familiarity with related AI fields such as supervised and unsupervised learning.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.
• Experience with software development best practices.

Benefits

• Our client offers a highly competitive salary package, with an annual compensation of R , along with comprehensive medical insurance, retirement benefits, and performance‑driven bonuses.
• Employees benefit from a flexible working environment and ample opportunities for professional growth, including access to advanced training, workshops, and conference participation.
• Join a collaborative and innovative team in Vereeniging, Gauteng , working on challenging and impactful AI projects.
• Our client is committed to fostering a culture of continuous learning and development.