Machine Learning Engineer

Pretoria FULL TIME R50,000 - R70,000 / Month
(R600,000 - R850,000 / Year)

Job Description

As a Machine Learning Engineer in Pretoria, you will be at the forefront of AI technology. You will design and implement machine learning models to solve complex problems. This is an exciting opportunity to work with a team of passionate professionals in a rapidly evolving field.

Responsibilities

  • Create and maintain documentation for machine learning processes.
  • Research and explore new techniques and strategies in machine learning.
  • Assist in the design and implementation of data pipelines.
  • Participate in code reviews and contribute to best practices.
  • Engage in continuous learning to enhance technical skills and knowledge.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering or a related discipline
  • Master's degree in Machine Learning or Data Science is a significant advantage
Experience
  • 4+ years of hands-on experience in machine learning projects
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning Frameworks
Soft Skills
  • Communication Skills
  • Adaptability
Certifications
  • Google Cloud Professional Machine Learning Engineer
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with Cloud Services: Proven experience deploying models in cloud environments such as AWS or Azure.
  • Knowledge of MLOps: Understanding of MLOps principles for operationalizing machine learning models.

Benefits

  • Comprehensive health insurance and wellness programs
  • Annual salary reviews and bonuses
  • Work from home options available
  • Access to on-site training and workshops

Company Culture

  • Continuous Improvement: We encourage a culture of learning and continuous improvement among our employees.
  • Work-Life Balance: Our company supports work-life balance, ensuring our employees have time for personal interests.
  • Community Engagement: We actively engage with our communities and promote corporate social responsibility.
Status: Closed