Machine Learning Engineer

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

Job Description

Looking for a dedicated Machine Learning Engineer to join our dynamic team. You'll take on the challenge of developing machine learning algorithms and models, focusing on improving data accuracy and usability. A solid background in statistics, programming, and the latest ML technologies is essential.

Responsibilities

  • Evaluate various machine learning frameworks and tools for suitability.
  • Collaborate with product teams to define AI-driven features.
  • Identify opportunities to leverage AI for business enhancement.
  • Responsible for the full machine learning lifecycle from model development to deployment.
  • Optimize existing workflows for machine learning tasks.
  • Create training pipelines for model improvement.

Requirements

Education
  • Bachelor's degree in Engineering, Computer Science, or related fields
  • Master's degree in AI or Data Science preferred
Experience
  • 3+ years in machine learning engineering or related domains
Technical Skills
  • Java
  • Scikit-Learn
Soft Skills
  • Communication
  • Teamwork
Certifications
  • AWS Certified Machine Learning
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing (NLP): Hands-on experience in developing NLP applications.
  • Familiarity with Data Visualization tools like Tableau or Power BI: Experience using data visualization platforms for insights.

Benefits

  • Attractive salary package with annual reviews
  • Comprehensive health, dental, and vision coverage
  • Work-life balance with flexible hours
  • Access to training workshops and conferences

Company Culture

  • Diversity and Inclusion: We are committed to creating a diverse work environment and encourage applications from all backgrounds.
  • Sustainability Focused: We care about our impact on the environment and engage in sustainable practices.
  • Flexible Work Culture: Understanding the importance of work-life balance, we offer our employees flexible work options.
Status: Closed