Machine Learning Engineer

Johannesburg FULL TIME R41,667 - R62,500 / Month
(R500,000 - R750,000 / Year)

Job Description

Join us as a Machine Learning Engineer, where your expertise will drive the development of revolutionary machine learning applications. Work alongside industry experts to deploy models that improve business performance and boost customer satisfaction across diverse platforms.

Responsibilities

  • Develop and optimize machine learning algorithms for predictive analytics.
  • Work closely with engineering teams to create scalable data pipelines.
  • Evaluate model performance and implement improvements as necessary.
  • Mentor junior data engineers and share best practices in ML deployment.
  • Contribute to the development of a robust machine learning framework.
  • Perform regular maintenance and troubleshooting of ML systems.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree in Data Science or Machine Learning is preferred
Experience
  • 3+ years of experience in machine learning and data analytics
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
Soft Skills
  • Critical thinking
  • Teamwork
Certifications
  • Certified Machine Learning Specialist
Languages
  • English: Fluent

Advantageous

  • Experience with cloud services (AWS, Azure): Familiar with deploying machine learning solutions on cloud platforms.
  • Experience in deep learning frameworks: Working knowledge of deep learning models and frameworks like Keras.

Benefits

  • Competitive salary and performance bonuses
  • Health insurance and retirement benefits
  • Flexible working hours and remote options
  • Professional development opportunities

Company Culture

  • Innovation: We encourage groundbreaking ideas and creative solutions to real-world problems.
  • Continuous improvement: We are dedicated to personal and professional growth, offering various training programs.
  • Community engagement: We actively participate in local initiatives and encourage involvement in social causes.
Status: Closed