Posted 7 days ago
Description
About the Role
WhatJobs Direct is seeking a talented AI/ML Engineer with specialized expertise in Reinforcement Learning (RL) to join our advanced research and development team. This role is based in Queenstown, Eastern Cape, ZA, and operates under a hybrid work model, allowing for a blend of remote flexibility and essential in-office collaboration. You will be at the forefront of developing novel RL algorithms and applying them to solve complex problems in areas such as robotics, optimization, and autonomous systems. The ideal candidate possesses a strong theoretical foundation in RL and practical experience in implementing and deploying RL agents. You will work with challenging datasets and cutting-edge simulation environments, pushing the boundaries of what's possible with intelligent agents. Our client is deeply invested in pioneering AI technologies, and this position offers a unique opportunity to contribute to groundbreaking projects and significantly advance your career. We seek individuals who are passionate about research, possess strong analytical skills, and thrive in an innovative environment. The hybrid nature of this role supports both focused individual work and collaborative team efforts.
Key Responsibilities
- Design, implement, and evaluate advanced Reinforcement Learning algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
- Develop and maintain simulation environments for training and testing RL agents.
- Apply RL techniques to solve real-world problems in areas like robotics control, game AI, recommendation systems, or resource optimization.
- Process and analyze large-scale datasets to inform RL model development.
- Collaborate with other AI/ML engineers and researchers to integrate RL solutions into larger systems.
- Optimize RL algorithms and implementations for performance and efficiency.
- Stay up-to-date with the latest research and advancements in Reinforcement Learning and related AI fields.
- Document research, experiments, and findings clearly and comprehensively.
- Present technical findings and project progress to internal teams and stakeholders.
Requirements
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Reinforcement Learning.
- Demonstrable experience in developing and implementing RL algorithms, preferably with a portfolio of projects or publications.
- Strong programming skills in Python, with extensive experience in relevant libraries such as TensorFlow, PyTorch, OpenAI Gym, or Ray RLlib.
- Solid understanding of deep learning, probability, and statistics.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a hybrid team setting.
- Ability to work independently and manage tasks efficiently in a remote component of the hybrid model.
Benefits
- Competitive salary package with performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous retirement contribution plan.
- Flexible hybrid work arrangement.
- Ample paid time off and company holidays.
- Opportunities for advanced training, research, and conference attendance.
- Access to cutting-edge research facilities and computational resources.
- A stimulating and collaborative work environment focused on innovation.
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