Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R66,667 / Month
(R500,000 - R800,000 / Year)

Job Description

We are looking for a skilled Machine Learning Engineer to join our vibrant team in Johannesburg. You will be responsible for designing and implementing machine learning algorithms, contributing to cutting-edge AI projects that transform data into actionable insights. The ideal candidate will have a strong foundation in mathematics, statistics, and programming, along with practical experience in deploying machine learning models. If you're passionate about AI and eager to tackle complex challenges, we want to hear from you!

Responsibilities

  • Engineer robust machine learning systems to process large volumes of data.
  • Contribute to all stages of the machine learning lifecycle.
  • Collaborate with stakeholders to gather requirements and feedback.
  • Implement best practices for model management and deployment.
  • Continuously evaluate the performance of deployed algorithms and make improvements.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's degree in Data Science or Machine Learning is preferred
Experience
  • 3-5 years of experience with a focus on machine learning projects
Technical Skills
  • Python
  • Keras
  • Big Data Technologies
Soft Skills
  • Adaptability
  • Presentation Skills
Certifications
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Reinforcement Learning: Experience with reinforcement learning models and applications.
  • Experience in Image Processing: Knowledge of image processing techniques for computer vision tasks.

Benefits

  • Comprehensive health and wellness programs
  • Retirement savings plan with company matching
  • Work-life balance initiatives and flexible schedules
  • Recognition programs for outstanding performance

Company Culture

  • Diversity and Inclusion: We are committed to creating a diverse workplace and embrace people from all backgrounds.
  • Community Engagement: We actively engage in community initiatives and encourage employees to participate.
Status: Closed