Machine Learning Engineer

Cape Town Full-time R41,666 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our team in Cape Town. In this role, you will work on developing advanced machine learning models and algorithms to drive innovation within our projects. The ideal candidate will have a solid background in AI and practical experience in applying machine learning techniques to solve real-world problems.

Responsibilities

  • Research and implement the latest advancements in machine learning techniques.
  • Design experiments to evaluate model performance and iterate based on results.
  • Communicate model insights and recommendations to diverse audiences.
  • Engage in team brainstorming sessions to foster innovative solutions in machine learning.
  • Participate in code reviews to maintain high standards of code quality.
  • Assist in the recruitment and training of new data science staff.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Master's degree preferred
Experience
  • 3+ years of relevant experience in machine learning applications
Technical Skills
  • Machine Learning Algorithms
  • Deep Learning
Soft Skills
  • Problem-solving
  • Adaptability
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Experience with CI/CD pipelines for machine learning applications.
  • Programming experience in R: Knowledge of R for statistical analysis and data visualization.

Benefits

  • Attractive salary structure along with bonuses
  • Health insurance coverage and wellness initiatives
  • Work-from-home options and flexible schedules
  • Access to training and workshops for skill enhancement

Company Culture

  • Continuous Learning: We believe in lifelong learning and provide resources for professional growth.
  • Team Spirit: We promote a positive team spirit where everyone's contribution is valued.
  • Work-Life Balance: We respect the need for work-life balance and support flexible working arrangements.
Status: Closed