Senior DRL Engineer - Hybrid, Pretoria

Placements24

Pretoria

Híbrido

ZAR 900.000 - 1.500.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive salary and incentives
Healthcare benefits
Generous paid time off
Professional development opportunities
Access to HPC resources
Hybrid work in Pretoria
AI research culture

Descripción de la vacante

Placements24 in Pretoria is seeking a Senior Machine Learning Engineer with a DRL focus to design and implement advanced reinforcement learning solutions for robotics and autonomous systems.

The role involves building simulation environments, collaborating with data scientists and engineers, and driving continuous improvements through experiments and research. Hybrid work in Pretoria is offered, with opportunities for professional development in AI.

Formación

  • Master's or Ph.D. in Computer Science, AI, Robotics or a related field.
  • Minimum 5 years of professional ML experience with a strong RL focus.
  • Proficient with DL frameworks: TensorFlow, PyTorch, or Keras.
  • Strong Python skills and ML library experience; excellent problem solving.

Responsabilidades

  • Design, develop, and implement DRL algorithms and models.
  • Apply DRL to robotics control, autonomous navigation, and games.
  • Develop and maintain DRL simulation environments for training.
  • Collaborate with data scientists and software engineers to integrate models.
  • Analyze experiments and data to improve models and algorithms.
  • Stay updated on DRL research and related fields.
  • Mentor junior engineers and share knowledge within the team.
  • Ensure scalable and efficient DRL solutions and good documentation.

Conocimientos

Reinforcement Learning
Python
TensorFlow
PyTorch
Keras
RL algorithms
OpenAI Gym
PyBullet

Educación

Master's or Ph.D. in CS/AI/Robotics

Herramientas

OpenAI Gym
MuJoCo
PyBullet

Descripción del empleo

Placements24 in Pretoria is seeking a Senior Machine Learning Engineer with a DRL focus to design and implement advanced reinforcement learning solutions for robotics and autonomous systems.

The role involves building simulation environments, collaborating with data scientists and engineers, and driving continuous improvements through experiments and research. Hybrid work in Pretoria is offered, with opportunities for professional development in AI.

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