Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R75,000 / Month

Job Description

As a Machine Learning Engineer, you will be responsible for developing high-performing machine learning algorithms and ensuring their efficient deployment. We expect you to utilize your analytical and programming skills to interpret data and optimize model performance. Be part of a company that's reshaping the future with AI technology!

Responsibilities

  • Design innovative AI systems from the ground up.
  • Coordinate with cross-functional teams to bridge the gap between AI models and business solutions.
  • Ensure machine learning models adhere to best practices and standards.
  • Monitor and evaluate ongoing AI initiatives for continuous improvement.
  • Research, evaluate, and implement new ML frameworks and libraries.
  • Develop and maintain documentation for model governance and compliance.

Requirements

Education
  • Bachelor's degree in a quantitative field (Computer Science, Statistics, etc.)
  • Master's degree in a relevant field is an advantage
Experience
  • 3+ years of hands-on experience in machine learning projects
Technical Skills
  • R
  • SQL
Soft Skills
  • Teamwork
  • Critical thinking
Certifications
  • AWS Certified Machine Learning Specialist
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with Reinforcement Learning: Hands-on experience with reinforcement learning techniques.
  • Experience with Data Visualization Tools: Proficiency in Tableau or Power BI for visual data representation.

Benefits

  • Comprehensive health and wellness programs
  • Generous leave policy including parental leave
  • Employee training and professional development programs
  • Discounts on technology products and services

Company Culture

  • Diversity and Inclusion: We value diversity in our workforce and are committed to creating an inclusive work environment.
  • Work-Life Balance: Promoting a healthy work-life balance for our employees is essential for our success.
  • Community Engagement: We actively engage with the community, supporting local initiatives and outreach programs.
Status: Closed