Machine Learning Engineer

Johannesburg Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join our team as a Machine Learning Engineer where you will engage in developing cutting-edge machine learning applications. You will be responsible for researching, designing, and deploying systems that leverage data to improve operational efficiencies. The ideal candidate will possess strong programming skills and a keen understanding of data processing techniques.

Responsibilities

  • Research and apply advanced data analytics and machine learning techniques.
  • Document and communicate your findings and methodologies effectively.
  • Engage with other engineers to improve software development practices.
  • Develop visualizations to communicate data-driven insights.
  • Participate actively in code reviews and team meetings.

Requirements

Education
  • Bachelor's degree in Software Engineering, Statistics, or a related field
  • Master's degree is preferred
Experience
  • 4+ years of experience in machine learning development
Technical Skills
  • R
  • SQL
Soft Skills
  • Communication
  • Problem-solving
Certifications
  • Data Science Professional Certificate
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Machine Learning in Production: Experience implementing machine learning models in production environments.
  • Knowledge of MLOps: Understands MLOps principles for productionizing ML workflows.

Benefits

  • Comprehensive medical, dental and vision benefits
  • Generous retirement plan with matching contributions
  • Flexible hours and remote work options
  • Professional training and development programs

Company Culture

  • Team Collaboration: We prioritize collaboration and teamwork across departments to achieve our goals.
  • Openness to Ideas: Every employee is encouraged to share their ideas and contribute to discussions.
  • Focus on Impact: We aim to create a positive impact through our work and engage with the community.
Status: Closed