Machine Learning Engineer

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

Job Description

We are seeking a Machine Learning Engineer to join our talented team in Johannesburg. The ideal candidate will have a passion for AI and machine learning, with proficiency in developing and implementing machine learning models. You will work closely with data scientists and software engineers to translate complex data into actionable insights and innovative solutions.

Responsibilities

  • Implement predictive analytics and machine learning models.
  • Conduct experiments to validate model performance and effectiveness.
  • Collaborate with developers to streamline model deployment.
  • Set up and maintain ML workflow tools and frameworks.
  • Participate in code reviews and provide constructive feedback.

Requirements

Education
  • Master's degree in Machine Learning, Data Science, or related field
  • PhD is a plus
Experience
  • 5+ years of experience in machine learning and AI projects
Technical Skills
  • Python
  • Deep Learning
  • Keras
  • Big Data Technologies
  • Machine Learning Algorithms
Soft Skills
  • Critical thinking
  • Interpersonal skills
Certifications
  • Google Cloud Certified – Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Familiarity with MLOps: Experience with MLOps practices for deploying and maintaining ML models.
  • Knowledge of Ethics in AI: Understanding of ethical considerations in the deployment of machine learning systems.

Benefits

  • Health, dental, and vision insurance
  • Generous retirement savings plan with company matching
  • Professional development and training opportunities
  • Work-life balance initiatives

Company Culture

  • Continuous Learning: We emphasize continuous learning and provide training to help our employees grow.
  • Accountability: We hold ourselves accountable and take responsibility for our contributions.
  • Empowerment: We empower our employees to make decisions and take charge of their projects.
Status: Closed