Machine Learning Engineer

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Join our dynamic team as a Machine Learning Engineer, where you will be responsible for building, testing, and deploying machine learning models. You will have the opportunity to work on exciting projects that utilize cutting-edge AI technologies, contributing to the advancement of solutions that redefine industry standards.

Responsibilities

  • Design scalable machine learning systems that can be integrated into existing infrastructure.
  • Evaluate the effectiveness of different algorithms in various use cases.
  • Provide insights and recommendations based on results from machine learning models.
  • Engage in peer code reviews to enhance code quality and team collaboration.
  • Assist in training other team members on machine learning concepts and tools.
  • Contribute to product development cycles by integrating AI features.

Requirements

Education
  • Bachelor's degree in Engineering, Math, or related field
  • Master's degree in AI, Data Analytics, or related field is preferred
Experience
  • 3+ years of experience in data science or machine learning
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Leadership
  • Adaptability
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with Agile methodologies: Experience working in Agile teams with iterative development cycles.
  • Background in statistical analysis: Strong background in statistical analysis to enhance model effectiveness.

Benefits

  • Comprehensive benefits package including health and wellness programs
  • Flexible work hours and remote work options
  • Annual professional development budget
  • Inclusive company culture that values diversity

Company Culture

  • Community Engagement: We believe in giving back to the community and encourage participation in social initiatives.
  • Work-Life Balance: We promote a healthy work-life balance to ensure team members thrive both personally and professionally.
Status: Open