Machine Learning Engineer

Cape Town FULL TIME R50,000 - R66,666 / Month
(R600,000 - R800,000 / Year)

Job Description

We are seeking a skilled Machine Learning Engineer to join our vibrant team in Cape Town. The successful candidate will leverage their experience in machine learning algorithms and data analysis to drive AI projects that make a real impact. If you have a strong foundation in programming and a passion for AI, we want to hear from you!

Responsibilities

  • Research and implement state-of-the-art machine learning algorithms.
  • Document processes and share insights with the development team.
  • Contribute to the continuous improvement of project workflows.
  • Participate in code reviews to ensure best practices are followed.
  • Assist in mentoring junior engineers and interns.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Machine Learning or Data Science is preferred
Experience
  • 3+ years of experience in machine learning and data analytics
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Creativity
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Knowledge in building NLP models to analyze text data.
  • Familiarity with big data technologies (e.g., Hadoop, Spark): Experience with processing large datasets for machine learning.

Benefits

  • Attractive salary with performance bonuses
  • Comprehensive healthcare coverage
  • Remote work options available after probation
  • Company-sponsored training and development programs

Company Culture

  • Learning and Growth: Our culture promotes continuous learning and personal growth, providing resources for professional development.
  • Diversity and Inclusion: We champion diversity and strive to create an inclusive workplace where everyone feels welcomed.
  • Community Engagement: We encourage our employees to give back to the community through various outreach initiatives.
Status: Closed