Machine Learning Engineer

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

Job Description

We are on the lookout for a knowledgeable Machine Learning Engineer to contribute to our projects in Johannesburg. As part of our team, you will engage in the full machine learning lifecycle from data preprocessing to deploying models. An ideal candidate will possess strong analytical abilities and a passion for AI technologies.

Responsibilities

  • Utilize key machine learning frameworks such as TensorFlow or PyTorch.
  • Prepare datasets by cleaning, structuring, and transforming data for model training.
  • Present findings and recommendations to non-technical team members.
  • Implement software engineering best practices to ensure code quality.
  • Engage in peer code reviews and contribute to collaborative solving of challenges.
  • Interface with other departments to integrate machine learning solutions across the organization.

Requirements

Education
  • Bachelor's degree in a related technical field
  • Master's degree is an asset
Experience
  • 3+ years of practical experience in AI/Machine Learning roles
Technical Skills
  • R
  • SQL
  • Scikit-learn
  • Data Visualization
Soft Skills
  • Teamwork
  • Critical Thinking
Certifications
  • IBM Data Science Professional Certificate
  • AWS Certified Machine Learning - Specialty
Languages
  • English: Fluent

Advantageous

  • Hands-on Project Experience: Hands-on experience with AI projects that show a breadth of understanding.
  • Experience with Big Data Tools: Familiarity with tools like Hadoop or Spark for processing large datasets.

Benefits

  • Health, dental, and vision insurance
  • Performance bonus opportunities
  • Work-life balance initiatives
  • Employee learning and development programs

Company Culture

  • Diversity and Inclusion: Our culture encourages diversity in perspectives and experiences.
  • Creativity: We value creative thinking and innovative solutions across the organization.
  • Respect: Fostering a respectful work environment for all team members.
Status: Closed