Machine Learning Engineer

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

Job Description

We are seeking a Machine Learning Engineer to join our innovative team in Johannesburg. In this role, you'll leverage your expertise in AI to develop cutting-edge algorithms and models that drive our technology forward. You will work collaboratively with data scientists and software engineers in a dynamic environment, committed to ongoing learning and growth.

Responsibilities

  • Research and implement new machine learning techniques and technologies.
  • Collaborate on cross-functional teams to integrate AI technologies into existing products.
  • Provide technical guidance and mentorship to junior team members.
  • Analyze large datasets to identify trends and insights.
  • Communicate findings and recommendations to non-technical stakeholders.
  • Contribute to open-source projects or community initiatives in the machine learning space.

Requirements

Education
  • Bachelor's degree in Data Science, Artificial Intelligence, or related field
  • Master's degree is a plus
Experience
  • 3+ years of experience in data science and machine learning
Technical Skills
  • R
  • Machine Learning Algorithms
Soft Skills
  • Problem-solving
  • Time management
Certifications
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Familiarity with natural language processing (NLP): Basic understanding of NLP techniques for processing text data.
  • Understanding of computer vision technologies: Knowledge of image processing and computer vision applications.

Benefits

  • Generous leave policies including annual leave and sick leave
  • Retirement savings plan with employer contribution
  • Support for attending industry conferences and workshops
  • Team-building activities and events

Company Culture

  • Diversity and Inclusion: We value diversity and strive to create an inclusive workplace for all employees.
  • Community Engagement: We actively participate in community initiatives and encourage our employees to give back.
Status: Closed