Senior AI/ML Engineer - Reinforcement Learning

Placements24; Klerksdorp; On-site; ZAR 900,000 - 1,700,000; Full time

Benefits offered by this job

Health insurance

Conference access

Professional training

HPC access

Job summary

Placements24 seeks a Senior AI/ML Engineer with RL specialization to design, develop, and deploy advanced RL algorithms for complex optimization problems. Based in Klerksdorp, you will build agents that learn optimal strategies, integrate RL with existing systems, and mentor junior engineers.

You will work with cutting-edge AI technologies, collaborate with domain experts, and stay at the forefront of reinforcement learning research while contributing to a dynamic, results-driven team in North

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or related quantitative field.
• 5+ years of experience in developing and deploying reinforcement learning algorithms.
• Strong understanding of RL concepts (Q-learning, DQN, Policy Gradients, Actor-Critic).
• Proficiency in Python with ML libraries (TensorFlow, PyTorch) and RL frameworks.
• Experience with numerical optimization and large-scale data processing.

Responsibilities

• Design, implement, and test novel RL algorithms and models.
• Develop RL agents capable of learning optimal strategies in complex environments.
• Integrate RL solutions with existing systems and platforms.
• Collaborate with domain experts to define problems for RL and design reward functions.
• Optimize RL algorithms for performance, efficiency, and scalability.
• Conduct rigorous experiments and analyses to evaluate agent performance.
• Stay current with RL research and related AI fields.
• Mentor junior engineers and contribute to team growth.

Skills

Reinforcement Learning

Python

TensorFlow

PyTorch

RL frameworks

Simulation Environments

Mentoring

Education

Master's or PhD in CS/AI

Tools

Stable Baselines3

Ray RLlib

NumPy

Job description

About the Role

Our client, a pioneer in developing intelligent automation solutions, is seeking a talented Senior AI/ML Engineer with a specialization in Reinforcement Learning (RL) to join their innovative team. This challenging role, based in **Klerksdorp, North West**, will focus on designing, developing, and deploying sophisticated RL algorithms for complex optimization and decision-making problems. You will be instrumental in pushing the boundaries of autonomous systems and intelligent agents, contributing to cutting-edge projects that redefine industry standards. This is an exceptional opportunity for a skilled engineer to apply their expertise in RL within a dynamic and results-oriented environment, making significant contributions from our **Klerksdorp** headquarters.

Key Responsibilities

• Design, implement, and test novel reinforcement learning algorithms and models.
• Develop RL agents capable of learning optimal strategies in complex environments.
• Integrate RL solutions with existing systems and platforms.
• Collaborate with domain experts to define problems suitable for RL and design appropriate reward functions.
• Optimize RL algorithms for performance, efficiency, and scalability.
• Conduct rigorous experimentation and analysis to evaluate agent performance.
• Stay current with the latest research in reinforcement learning and related AI fields.
• Mentor junior engineers and contribute to the team's technical growth.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying reinforcement learning algorithms.
• Strong understanding of RL concepts such as Q-learning, Deep Q-Networks (DQN), Policy Gradients, Actor-Critic methods, and simulation environments.
• Proficiency in Python and experience with ML libraries like TensorFlow, PyTorch, and RL frameworks (e.g., Stable Baselines3, Ray RLlib).
• Experience with numerical optimization techniques and large-scale data processing.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Experience in simulation or robotics is a plus.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health insurance and retirement plan.
• Opportunities for advanced training and conference participation.
• A dynamic and innovative work culture in **Klerksdorp, North West**.
• Access to high-performance computing resources.
• Collaborative environment with leading AI professionals.