Senior AI Engineer - Reinforcement Learning

Placements24; Queenstown (MD); On-site; USD 54,000 - 108,000; Full time

Benefits offered by this job

Salary bonuses

Medical aid

Retirement fund

Training & conferences

Career growth

Collaborative culture

Job summary

Placements24 is seeking a Senior AI Engineer with deep RL expertise for a role in Queenstown, Eastern Cape. You will design and implement advanced RL algorithms, build environments to train agents, and collaborate with domain experts to set meaningful metrics.

Applicants should have a strong RL theory background, proficiency in Python and ML frameworks, and experience deploying RL solutions at scale. The role emphasizes research, innovation, and mentorship in a dynamic AI team.

Qualifications

• Master's or PhD in Computer Science, AI, ML or a related field.
• 5+ years of professional AI/ML experience with a strong RL focus.
• Strong theoretical RL background: Q-learning, Policy Gradients, Actor-Critic, Deep RL.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Ray/RLlib).
• Experience developing and debugging complex RL algorithms; familiarity with simulators.

Responsibilities

• Design, implement, and evaluate novel RL algorithms and models.
• Develop RL agents for complex tasks (control, optimization, strategy).
• Build and maintain simulation environments for training and testing RL agents.
• Collaborate with domain experts to define problems and metrics.
• Integrate RL solutions with existing AI systems and infra.
• Conduct research to advance RL state-of-the-art.
• Optimize RL algorithms for performance and scalability.
• Analyze results and provide actionable insights.
• Mentor junior engineers and share knowledge.

Skills

Reinforcement Learning

Python

Deep Learning

OpenAI Gym

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Ray/RLlib

MuJoCo

Unity ML-Agents

Job description

About the Role

Our client, a prominent player in advanced AI research and development, is seeking a Senior AI Engineer with specialized expertise in Reinforcement Learning (RL) to join their team in Queenstown, Eastern Cape . This role is central to developing intelligent systems capable of learning optimal decision-making policies through interaction with their environment. You will tackle complex challenges in areas such as robotics, game AI, and optimization problems, contributing to groundbreaking innovations. The ideal candidate possesses a strong theoretical foundation in RL and practical experience in implementing and deploying RL agents in real-world or simulated scenarios.

Key Responsibilities

• Design, implement, and evaluate novel reinforcement learning algorithms and models.


• Develop RL agents for complex tasks, including but not limited to control systems, optimization, and strategic decision-making.


• Build and maintain simulation environments for training and testing RL agents.


• Collaborate with domain experts to define problem statements and performance metrics for RL applications.


• Integrate RL solutions with existing AI systems and software infrastructure.


• Conduct research to advance the state-of-the-art in reinforcement learning.


• Optimize RL algorithms for performance, efficiency, and scalability.


• Analyze and interpret experimental results, providing clear insights and recommendations.


• Mentor junior engineers and contribute to the team's technical knowledge base.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.


• 5+ years of professional experience in AI/ML, with a significant focus on Reinforcement Learning.


• Strong theoretical understanding of RL concepts (e.g., Q-learning, Policy Gradients, Actor-Critic methods, Deep RL).


• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and Ray/RLlib.


• Experience in developing and debugging complex algorithms.


• Familiarity with simulation environments (e.g., OpenAI Gym, MuJoCo, Unity ML-Agents).


• Ability to work with large datasets and high-performance computing resources.


• Excellent analytical, problem-solving, and critical thinking skills.


• Strong communication and collaboration abilities.


• Experience deploying RL agents in real-world applications is a strong plus.

Benefits

• Our client offers a highly competitive salary package, complemented by annual performance bonuses.


• A comprehensive benefits plan includes excellent medical aid, a substantial retirement fund, and generous vacation time.


• We invest in our employees' growth through access to cutting-edge research, training programs, and opportunities to attend leading AI conferences.


• Join an innovative team pushing the boundaries of artificial intelligence in Queenstown, Eastern Cape .


• The company culture promotes intellectual curiosity, collaboration, and a dedication to impactful technological advancement.


• Enjoy a supportive work environment that values work-life balance and professional development.