Machine Learning Engineer

Durban FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a passionate Machine Learning Engineer to join our dynamic team in Durban. In this role, you will develop and deploy machine learning models that solve real-world problems. You’ll work with cross-functional teams, leveraging cutting-edge technologies to enhance our AI capabilities. If you're enthusiastic about AI and data science, this position is for you!

Responsibilities

  • Implement best practices in ML engineering to improve model quality.
  • Collaborate in cross-functional teams to deliver high-quality data-driven solutions.
  • Review and enhance existing models based on new data.
  • Utilize cloud platforms for deploying ML models.
  • Participate in code reviews to ensure high standards in ML coding practices.
  • Engage in continuous learning to enhance personal and team expertise.

Requirements

Education
  • Bachelor's degree in Computer Science or a related field
  • Master's degree in Machine Learning or related fields is preferred
Experience
  • 4+ years of experience in ML engineering roles
Technical Skills
  • Python
  • Keras
  • SQL
Soft Skills
  • Collaboration
  • Problem-Solving
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Knowledge of reinforcement learning techniques and applications.
  • Familiarity with version control systems (Git): Experience with Git for version control and collaboration.

Benefits

  • Health and dental coverage
  • Pension contribution
  • Work-from-home options
  • Annual performance bonuses

Company Culture

  • Inclusivity: Our team values diverse perspectives and fosters an inclusive work environment.
  • Customer Focus: We aim to deliver outstanding services by understanding and meeting customer needs.
  • Work-Life Balance: We believe in a healthy balance between work and personal life for our employees.
Status: Closed