AI Developer - Reinforcement Learning

Placements24; Waukee (IA); Hybrid; USD 55,000 - 79,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid

Retirement fund options

Performance bonuses

Job summary

Placements24 is seeking an AI Developer focused on Reinforcement Learning to join a team in Paarl, Western Cape. You will design, implement and evaluate RL algorithms, train agents, and integrate models into existing systems while collaborating with researchers and engineers.

The ideal candidate has strong RL background, solid programming skills in Python, and experience with RL libraries and DL frameworks. A hybrid work setup is offered, with opportunities for growth in innovative AI projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Demonstrated experience or strong academic background in Reinforcement Learning.
• Proficiency in Python and RL libraries.

Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms (e.g., Q-learning, Deep Q-Networks, Policy Gradients).
• Develop and train RL agents for various simulation and real-world applications.
• Integrate RL models into existing software systems and platforms.
• Collaborate with researchers and engineers to define problems and develop solutions.
• Conduct experiments and analyze results to improve agent performance and efficiency.
• Stay up-to-date with the latest research and advancements in reinforcement learning and AI.
• Write clean, efficient, and well-documented code.
• Contribute to technical discussions and knowledge sharing within the team.

Skills

Reinforcement Learning

Python

OpenAI Gym

Stable Baselines

Ray RLlib

TensorFlow / PyTorch

Education

Bachelor’s or Master’s in CS/AI

Tools

OpenAI Gym

Stable Baselines

Ray RLlib

TensorFlow

PyTorch

Job description

About the Role

Our client, a leader in developing intelligent automation solutions, is seeking an enthusiastic AI Developer with a focus on Reinforcement Learning (RL) to join their team in Paarl, Western Cape. This role is perfect for a creative developer looking to apply advanced RL techniques to solve complex problems in areas such as robotics, game AI, and optimization. You will be involved in the entire development lifecycle, from conceptualization and algorithm design to implementation and testing of RL agents. This is an excellent opportunity to contribute to innovative projects and grow your expertise in a supportive environment located in Paarl. The ideal candidate will have a solid understanding of RL concepts, strong programming skills, and a passion for pushing the boundaries of AI. Our client values continuous learning and provides a collaborative atmosphere for its employees.

Key Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms (e.g., Q-learning, Deep Q-Networks, Policy Gradients).
• Develop and train RL agents for various simulation and real-world applications.
• Integrate RL models into existing software systems and platforms.
• Collaborate with researchers and engineers to define problems and develop solutions.
• Conduct experiments and analyze results to improve agent performance and efficiency.
• Stay up-to-date with the latest research and advancements in reinforcement learning and AI.
• Write clean, efficient, and well-documented code.
• Contribute to technical discussions and knowledge sharing within the team.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Demonstrated experience or strong academic background in Reinforcement Learning.
• Proficiency in programming languages such as Python.
• Experience with RL libraries and frameworks (e.g., OpenAI Gym, Stable Baselines, Ray RLlib).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Understanding of simulation environments and agent training methodologies.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a team and communicate technical concepts.
• Experience working in or with the Paarl, Western Cape region is a plus.

Benefits

• Our client offers a competitive salary and benefits package, including medical aid and retirement fund options.
• You will have the opportunity to work on exciting and challenging RL projects, contributing to the development of intelligent systems.
• The hybrid work model provides a good balance between in-office collaboration and remote flexibility.
• We offer a supportive and dynamic work environment, with opportunities for professional growth and learning.
• Access to state-of-the-art resources and a collaborative team culture are key benefits.
• Potential for performance bonuses and career advancement are provided.