AI/Machine Learning Engineer

Cape Town Full-time R50,000 - R70,000 / Month
(R600,000 - R840,000 / Year)

Job Description

We're searching for a skilled AI/Machine Learning Engineer to join our dynamic team in Cape Town. The successful candidate will be responsible for developing and implementing machine learning models and algorithms that enhance our product offerings and improve customer experience. This is a fantastic opportunity to work with cutting-edge technology and contribute to exciting AI projects.

Responsibilities

  • Create robust data pipelines and automate data processing.
  • Utilize cloud-based technologies for model deployment.
  • Document procedures and results of machine learning experiments.
  • Work collaboratively with product teams to refine AI requirements.
  • Participate in agile development processes and sprint planning.

Requirements

Education
  • Bachelor's degree in a relevant field is required
  • Master's degree in Machine Learning or related field is an advantage
Experience
  • 3-5 years working with AI and machine learning technologies
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning
Soft Skills
  • Creativity
  • Communication
Certifications
  • Certified TensorFlow Developer
  • Machine Learning Certification from an accredited institution
Languages
  • English: Fluent

Advantageous

  • Experience with Docker: Knowledge of containerization for deploying machine learning applications.
  • Familiarity with Git: Comfortable using Git for version control and collaboration.

Benefits

  • Comprehensive medical aid
  • Pension plan with employer match
  • Work-life balance initiatives
  • Regular training and skill enhancement workshops

Company Culture

  • Diversity: We embrace diversity and inclusivity, recognizing the value of different perspectives in driving innovation.
  • Continuous Learning: We encourage ongoing education and professional development to stay ahead in the tech industry.
  • Community Engagement: We actively participate in community initiatives and encourage our staff to get involved.
Status: Open