Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R70,000 / Month
(R600,000 - R850,000 / Year)

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our innovative team in Johannesburg. The ideal candidate will have a strong foundation in machine learning algorithms, data processing, and software development. You will be tasked with designing, developing, and deploying machine learning models that drive business insights and operational efficiency.

Responsibilities

  • Explore new data sources and methodologies for improving model accuracy.
  • Enhance the data pipeline architecture for efficient data processing.
  • Implement best practices for machine learning development and deployment.
  • Analyze and visualize data to support decision-making and strategy.
  • Collaborate with IT to ensure infrastructure supports machine learning applications.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree in AI or Machine Learning is a plus
Experience
  • 3+ years of practical experience in deploying machine learning solutions
Technical Skills
  • R
  • Machine Learning Frameworks
Soft Skills
  • Problem-solving
  • Creativity
Certifications
  • Google Professional Machine Learning Engineer
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying ML solutions.
  • Knowledge of DevOps practices: Familiarity with CI/CD practices to streamline deployment of ML models.

Benefits

  • Comprehensive medical aid and retirement plan
  • Performance bonuses and salary reviews
  • Continuous learning opportunities
  • Team-building activities and social events

Company Culture

  • Continuous Learning: We are committed to your professional growth through continuous learning and skill development opportunities.
  • Positive Work Environment: We strive to create a positive, supportive workplace that values collaboration and respect.
  • Community Engagement: Our team is dedicated to engaging with the community and making a positive impact.
Status: Closed