Machine Learning Engineer

Johannesburg Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join our team as a Machine Learning Engineer, where you will be instrumental in building advanced predictive models and data-driven solutions. Your expertise will be key in analysing complex datasets and transforming insights into actionable strategies that support our mission of driving technological excellence.

Responsibilities

  • Engineer features and conduct hyperparameter tuning for optimized model performance.
  • Collaborate with cross-functional teams to implement AI-driven solutions.
  • Perform data visualization to communicate findings and trends effectively.
  • Research and implement new machine learning technologies and methodologies.
  • Support ongoing projects with insights derived from data analyses.

Requirements

Education
  • Bachelor's degree in a technical field like Computer Science or Mathematics
  • Master's degree in Data Science or AI is preferred
Experience
  • 4+ years of hands-on experience in machine learning projects
Technical Skills
  • Machine Learning Algorithms
  • Natural Language Processing
Soft Skills
  • Communication Skills
  • Adaptability
Certifications
  • Certified Data Scientist
  • Google Professional Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Knowledge of reinforcement learning: Understanding of reinforcement learning concepts and applications.
  • Experience with Agile methodologies: Familiarity with Agile frameworks and practices in software development.

Benefits

  • Comprehensive medical aid.
  • Annual performance bonuses based on company success.
  • Support for continuous learning and certifications.
  • Team-building events and outings.

Company Culture

  • Growth Mindset: We believe in continuous improvement and personal growth for all employees.
  • Empowerment: We empower our team members to take ownership of their work and drive projects forward.
  • Community Engagement: We are actively involved in the community, encouraging team participation in charitable initiatives.
Status: Closed