Machine Learning Engineer

Johannesburg Full-time R50,000 - R70,000 / Month
(R600,000 - R850,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our Johannesburg-based team. In this role, you will develop and implement machine learning models and algorithms that will enhance our analytics capabilities. You will work closely with data scientists and engineers to leverage various data sources, designing scalable solutions while ensuring quality and performance.

Responsibilities

  • Create robust data pipelines for training and testing machine learning models.
  • Use data visualization methods to present findings to stakeholders effectively.
  • Develop benchmarks and automated testing frameworks for model evaluation.
  • Collaborate on interdisciplinary projects involving cross-functional teams.
  • Stay updated with industry trends and research to integrate cutting-edge methodologies.
  • Conduct workshops and training sessions to share knowledge with team members.

Requirements

Education
  • Bachelor's degree in Data Science, Computer Science or related
  • Master's degree preferred
Experience
  • 4+ years in machine learning or AI development
Technical Skills
  • Java
  • R
  • Machine Learning Frameworks
Soft Skills
  • Adaptability
  • Time Management
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure AI Engineer
Languages
  • English: Fluent

Advantageous

  • Strong portfolio of ML projects: Evidence of previously completed ML projects demonstrating capabilities.
  • Leadership experience in tech teams: Experience leading and managing projects or teams in a tech environment.

Benefits

  • Inclusive company culture fostering teamwork
  • Access to ongoing training and upskilling resources
  • Annual bonuses based on performance
  • Work-life balance initiatives

Company Culture

  • Growth Mindset: Our team embraces continuous learning and professional development.
  • Collaboration: We thrive on teamwork, working together to deliver exceptional results.
  • Work-Life Balance: We encourage a healthy balance between work and personal time for all our employees.
Status: Open