Machine Learning Engineer

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

Job Description

Join our team as a Machine Learning Engineer, responsible for developing innovative AI solutions tailored to our customers' needs. You will engage in hands-on model training, analysis, and application deployment, playing a key role in driving our AI agenda forward. If you are passionate about machine learning and want to make a difference, we want to hear from you!

Responsibilities

  • Lead initiatives to enhance machine learning capabilities across the organization.
  • Analyze large datasets to extract meaningful insights and translate them into strategies.
  • Work with software engineers to create scalable architectures for machine learning systems.
  • Implement best practices for version control and project management.
  • Mentor junior engineers and interns on ML techniques and practices.
  • Develop and maintain documentation for machine learning processes and workflows.

Requirements

Education
  • Bachelor's degree in Computer Science or a related field
  • Master's degree in Machine Learning or AI is a plus.
Experience
  • 3+ years of experience in ML projects or data analysis
Technical Skills
  • R
  • Kubernetes
Soft Skills
  • Team Collaboration
  • Time Management
Certifications
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Background in Agile methodologies: Experience in Agile development processes and practices.
  • Experience in NLP: Skills in Natural Language Processing related projects.

Benefits

  • Medical and dental benefits.
  • Annual leave and family leave policies.
  • 401(k) retirement plan with employer matching.
  • Opportunities for career advancement.

Company Culture

  • Diversity and Inclusion: Our company is committed to diversity and inclusivity, creating a welcoming environment for all employees.
  • Professional Growth: We provide our employees with a variety of opportunities for professional development and career advancement.
Status: Closed