Machine Learning Engineer

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

Job Description

We are seeking a Machine Learning Engineer to join our dynamic team in George. The ideal candidate will have a solid understanding of machine learning algorithms and experience in deploying models in production environments. You will work on exciting projects that involve data analysis, predictive modeling, and improving our AI platforms.

Responsibilities

  • Research and implement the latest machine learning algorithms.
  • Collaborate with product teams to align AI initiatives with business goals.
  • Analyze model performance metrics and provide actionable insights.
  • Participate in cross-team meetings to discuss project progress.
  • Provide mentorship and guidance to junior team members.
  • Contribute to the development of best practices for ML projects.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree in a quantitative field is an advantage
Experience
  • 5+ years of experience in machine learning
Technical Skills
  • R
  • Machine Learning Frameworks
  • Big Data Technologies
Soft Skills
  • Creative thinking
  • Adaptability
Certifications
  • Certified Machine Learning Professional
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with cloud-based ML platforms: Hands-on experience with cloud ML platforms like Google Cloud ML Engine.
  • Knowledge of data governance: Understanding of data governance and compliance standards.

Benefits

  • Comprehensive health plan with added benefits
  • Annual bonuses based on performance
  • Work-from-home options
  • Support for professional development and certifications

Company Culture

  • Continuous Improvement: We are dedicated to continuous improvement and value feedback for development.
  • Work-Life Balance: We prioritize work-life balance and support employee wellness initiatives.
  • Professional Development: We invest in the growth of our team members through training and mentorship programs.
Status: Closed