Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Looking for an exciting opportunity to work as a Machine Learning Engineer? Our Johannesburg office is looking for a professional with a strong foundation in AI technologies and software development. You will work on high-impact projects that shape the future of our technology offerings, driving smart solutions.

Responsibilities

  • Lead projects related to machine learning and data analysis.
  • Identify key metrics for measuring model performance.
  • Collaborate with other engineers to establish pipelines for data collection.
  • Document processes and share knowledge across the team.
  • Engage in peer code reviews and contribute to team best practices.
  • Participate in brainstorming sessions to inform product development with AI insights.

Requirements

Education
  • Bachelor's degree in a quantitative discipline
  • Master's degree in Machine Learning or AI preferred
Experience
  • 3+ years of hands-on experience in machine learning and AI projects
Technical Skills
  • R
  • Data Visualization
Soft Skills
  • Team Player
  • Detail-Oriented
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Familiarity with Cloud Computing platforms: Experience with AWS, Azure, or Google Cloud for ML services deployment.
  • Knowledge of MLOps practices: Familiarity with machine learning operations for deployment and monitoring.

Benefits

  • Comprehensive health benefits including dental and vision
  • Retirement savings plan with company match
  • Professional development opportunities
  • Work-from-home flexibility

Company Culture

  • Diversity and Inclusion: We promote a diverse and inclusive workplace where everyone feels welcome.
  • Work-Life Balance: We recognize the importance of work-life balance and offer flexible options.
  • Community Engagement: Our team is involved in the community, supporting various local initiatives.
Status: Open