Machine Learning Engineer

Cape Town Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a skilled Machine Learning Engineer to join our talented team in Cape Town. The selected candidate will focus on developing robust machine learning models, analyzing data, and collaborating with other engineers to create intelligent applications.

Responsibilities

  • Build and refine predictive models using industry-standard tools.
  • Analyze model outcomes and recommend improvements.
  • Work closely with software engineers to integrate machine learning solutions.
  • Contribute to the development of AI-based features for existing products.
  • Support data collection, preparation, and cleaning efforts.
  • Participate in code reviews to enhance code quality.
  • Create user documentation detailing model usage and applications.
  • Help establish best practices for machine learning model deployment.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Artificial Intelligence is an asset
Experience
  • 5 years of experience in machine learning and software development
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning
  • R
Soft Skills
  • Critical thinking
  • Interpersonal skills
Certifications
  • Certified Analytics Professional
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Experience with MLOps practices: Understanding of MLOps pipelines and best practices.
  • Background in statistics: Strong foundation in statistical analysis and methodologies.

Benefits

  • Comprehensive health insurance
  • Retirement savings plan with company contributions
  • Ongoing training and certification opportunities
  • Casual dress code and friendly office culture

Company Culture

  • Continuous Learning: Our team is committed to personal and professional growth through training and learning opportunities.
  • Work-Life Balance: We prioritize the well-being of our employees and offer flexible working arrangements.
Status: Closed