Machine Learning Engineer

Pretoria FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join our team as a Machine Learning Engineer, where you will be at the forefront of machine learning innovation. Your role will involve creating scalable solutions, improving algorithms, and applying statistical analysis to enhance our software. A background in ML frameworks and a knack for problem-solving is essential to thrive in this dynamic environment.

Responsibilities

  • Design and develop new machine learning frameworks and tools.
  • Work with cross-functional teams to define requirements for ML projects.
  • Train and mentor junior engineers in machine learning practices.
  • Evaluate and recommend new tools and technologies.
  • Participate in research projects to explore advanced AI methodologies.
  • Ensure compliance with data governance and regulatory frameworks.

Requirements

Education
  • Bachelor’s degree in Computer Science or a related field
  • PhD in a relevant field is an advantage
Experience
  • 5+ years of experience with AI/ML technologies
Technical Skills
  • machine learning frameworks
  • R Programming
Soft Skills
  • Critical thinking
  • Effective communication
Certifications
  • Certified Machine Learning Professional
  • Google Cloud Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Experience in edge computing: Knowledge in implementing ML models on edge devices.
  • Familiarity with computer vision techniques: Experience in building models for image recognition tasks.

Benefits

  • Health, dental, and vision coverage
  • Yearly bonuses based on performance
  • Flexible hours with remote work options
  • Professional development opportunities

Company Culture

  • Collaborative Spirit: Teamwork is at the heart of our mission, and we value collaboration across all levels.
  • Flexible Work Culture: We offer flexible working arrangements to support work-life balance.
  • Community Engagement: Encouraging community involvement and social responsibility among our staff.
Status: Closed