Machine Learning Engineer

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

Job Description

We're on the lookout for a talented Machine Learning Engineer to join our dynamic team in Centurion. In this role, you'll be responsible for developing and implementing machine learning models and algorithms that drive innovative solutions. You will collaborate with data scientists and software engineers to ensure integration of models into applications, pushing the boundaries of what AI can achieve.

Responsibilities

  • Conduct exploratory data analysis to identify trends and patterns.
  • Build and maintain scalable machine learning pipelines in production.
  • Test and evaluate systems to ensure robustness under varying conditions.
  • Leverage AI frameworks to enhance model building efficiency.
  • Assist in mentoring junior engineers and interns.
  • Engage in collaborative problem-solving within the engineering team.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Artificial Intelligence is preferred
Experience
  • 4+ years of hands-on experience in machine learning projects
Technical Skills
  • Java
  • R
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • Deep Learning Specialization by Coursera
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Hands-on experience with NLP tasks and toolkits.
  • Contributions to open-source projects: Active participation in the ML community through code contributions.

Benefits

  • Comprehensive medical aid
  • Retirement savings plan with employer contribution
  • Work-from-home options available
  • Continuous training and education support

Company Culture

  • Inclusivity: We are deeply committed to creating an inclusive work environment for everyone.
  • Work-Life Balance: We support our employees in achieving a healthy work-life balance.
  • Community Involvement: We encourage employees to engage with the community and support local initiatives.
Status: Closed