Principal AI Engineer - Reinforcement Learning

Placements24; Pretoria; Híbrido; ZAR 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Hybrid work model

Professional development

Descripción de la vacante

Placements24 seeks a visionary Principal AI Engineer with deep RL expertise to lead research, design and deployment of advanced RL systems in Pretoria, Gauteng. You will guide a team of engineers and researchers, shaping strategic AI initiatives and publishing findings at top venues.

The role requires a PhD/Master’s in CS/AI/ML, 7+ years in AI/ML with RL focus, and strong leadership. Hybrid work model, relocation assistance, and a collaborative environment are offered.

Formación

• PhD or Master’s in CS/AI/ML or closely related field.
• A strong RL focus with 7+ years in AI/ML R&D.
• Proven track record leading ML projects and RL solutions.
• Deep RL theory with practical experience in multiple algorithms.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch).
• Experience with simulations and agent-based modeling is advantageous.
• Excellent leadership, communication and mentoring skills.

Responsabilidades

• Lead research, design and implementation of advanced RL algorithms and systems.
• Develop and deploy RL models for complex optimization and decision-making problems.
• Architect scalable RL training pipelines and robust experimentation.
• Mentor AI engineers and researchers to foster technical excellence.
• Collaborate with cross-functional teams to apply RL to products and services.
• Publish findings in top conferences and journals; contribute to scientific community.
• Evaluate tools and platforms for RL development and deployment.
• Ensure ethical considerations and safety in RL systems.
• Contribute to strategic AI/RL roadmap and align with organizational goals.
• Optimize RL agents for real-world deployment and efficiency.

Conocimientos

Leadership

Mentoring

Communication

Strategic thinking

Problem solving

Educación

PhD in CS/AI/ML

Master's degree

Herramientas

Python

TensorFlow

PyTorch

Ray RLlib

Stable Baselines

Descripción del empleo

About the Role

Our client is seeking a visionary Principal AI Engineer with deep expertise in Reinforcement Learning (RL) to join their advanced research and development team in Pretoria, Gauteng . This is a senior leadership position where you will architect and drive the implementation of novel RL algorithms to solve complex, real-world problems. You will lead a team of talented engineers and researchers, pushing the frontiers of AI and influencing the company's strategic direction in cutting-edge technologies. The ideal candidate has a strong publication record, extensive practical experience in RL, and a passion for innovation. This is a unique opportunity to shape the future of AI within a dynamic and forward-thinking organization. We are dedicated to fostering a diverse and inclusive workplace that encourages creativity and collaboration.

Key Responsibilities

• Lead the research, design, and implementation of advanced Reinforcement Learning algorithms and systems.
• Develop and deploy RL models for complex optimization, control, and decision-making problems in various domains.
• Architect scalable and efficient RL training pipelines, ensuring robust experimentation and evaluation.
• Mentor and guide a team of AI engineers and researchers, fostering technical excellence and innovation.
• Collaborate with cross-functional teams to identify opportunities for RL applications and integrate solutions into products and services.
• Stay at the forefront of RL research, publishing findings in top conferences and journals, and actively contributing to the scientific community.
• Evaluate and select appropriate tools, frameworks, and platforms for RL development and deployment.
• Ensure the ethical considerations and safety aspects of RL systems are thoroughly addressed.
• Contribute to the strategic roadmap for AI and Reinforcement Learning within the organization.
• Optimize RL agents for performance, efficiency, and real-world deployment constraints.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Extensive professional experience (7+ years) in AI/ML research and development, with a significant focus on Reinforcement Learning.
• Proven track record of leading complex ML projects and delivering successful RL solutions.
• Deep theoretical understanding and practical experience with various RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods, Deep RL).
• Strong programming skills in Python, with extensive experience in ML/RL libraries (e.g., TensorFlow, PyTorch, Ray RLlib, Stable Baselines).
• Experience with simulation environments and agent-based modeling is highly advantageous.
• Excellent analytical, problem-solving, and strategic thinking abilities.
• Strong leadership, communication, and mentoring skills.
• Ability to articulate complex technical concepts to diverse audiences.
• Experience with parallel and distributed computing for large-scale RL training.

Benefits

• Exceptional compensation package, including a substantial base salary and performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous vacation policy and professional development allowance.
• Opportunities to lead groundbreaking research and influence industry direction.
• Access to world-class computing infrastructure and cutting-edge technology.
• Highly collaborative and intellectually stimulating work environment.
• Retirement savings plan with company matching.
• Support for attending and presenting at leading AI conferences.
• Flexible working hours and hybrid work model.
• Relocation assistance for eligible candidates.