Machine Learning Engineer

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

Job Description

We are in search of a talented Machine Learning Engineer to join our dynamic team in Johannesburg. As a key player, you will leverage cutting-edge technologies to develop advanced AI solutions that encompass predictive modeling, natural language processing, and data analytics. This role offers the opportunity to work with a cross-functional team and to provide innovative solutions to real-world challenges. If you have a passion for large-scale data analysis and machine learning, we want to hear from you.

Responsibilities

  • Research and implement new machine learning techniques and frameworks.
  • Create detailed documentation for machine learning processes and workflows.
  • Collaborate with product teams to align machine learning capabilities with business needs.
  • Contribute to open-source projects to enhance the company’s innovation footprint.

Requirements

Education
  • Bachelor's degree in a quantitative discipline
  • Master's degree in Data Science or related field is a plus
Experience
  • 4+ years of experience working with machine learning models
Technical Skills
  • Machine Learning Algorithms
  • Data Visualization
Soft Skills
  • Critical thinking
  • Time management
Certifications
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning frameworks: Hands-on experience with Keras or PyTorch is a plus.
  • Knowledge of data engineering: Understanding data pipelines and ETL processes is beneficial.

Benefits

  • Health, dental, and vision coverage
  • Retirement savings plan with company match
  • Flexible working conditions
  • Access to professional development resources

Company Culture

  • Learning Opportunities: We support personal and professional growth through learning initiatives.
  • Work-Life Balance: We respect the work-life balance of our employees and promote a healthy work atmosphere.
  • Sustainability Initiatives: We are committed to sustainability and encouraging eco-friendly practices within the company.
Status: Closed