Machine Learning Engineer

Johannesburg Full-time R50,000 - R70,833 / Month
(R600,000 - R850,000 / Year)

Job Description

Join us as a Machine Learning Engineer where you will play a vital role in designing and implementing machine learning algorithms. Your expertise will be key in enhancing our AI capabilities and developing innovative solutions that align with our strategic vision. This is an excellent opportunity to grow within a dynamic team committed to technological excellence.

Responsibilities

  • Build and deploy end-to-end machine learning pipelines.
  • Analyze large datasets to extract useful features and insights.
  • Implement data preprocessing techniques to enhance model accuracy.
  • Evaluate model performance and conduct A/B testing.
  • Communicate findings and recommendations to stakeholders.
  • Ensure compliance with data governance and security standards.

Requirements

Education
  • Bachelor's degree in Artificial Intelligence or related field
  • Master's degree in a relevant discipline is advantageous
Experience
  • 4+ years in machine learning, including experience with deep learning frameworks
Technical Skills
  • Keras
  • Matplotlib
Soft Skills
  • Adaptability
  • Problem-solving
Certifications
  • AWS Certified Machine Learning
  • IBM Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Proficiency in implementing CI/CD pipelines: Experience with DevOps practices, automating model deployment.
  • Experience with NLP techniques for data processing: Knowledge of natural language processing frameworks and techniques.

Benefits

  • Comprehensive health insurance package
  • Pension plan with company contributions
  • Work-life balance initiatives
  • Access to training and certification programs

Company Culture

  • Employee Well-being: We support employee well-being through various initiatives and flexible work arrangements.
  • Team Spirit: Our teams are united, working together to achieve common goals while celebrating each other's successes.
  • Community Engagement: We believe in giving back to the community and often engage in volunteer activities.
Status: Closed