Machine Learning Engineer

Gqeberha FULL TIME R41,667 - R54,167 / Month
(R500,000 - R650,000 / Year)

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic team in Gqeberha. The ideal candidate will be responsible for developing and deploying machine learning models that drive predictive analytics and improve business outcomes. Your expertise in programming and statistical analysis will be crucial in transforming data into actionable insights.

Responsibilities

  • Apply advanced statistical techniques to analyze data.
  • Lead projects from prototype to deployment, ensuring quality control.
  • Create dashboards and visualizations to communicate findings effectively.
  • Work on integrating machine learning models into existing business applications.
  • Prepare and maintain documentation for model development and deployment.
  • Engage in continuous education to maintain technical proficiency.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning and data science
Technical Skills
  • Python
  • Machine Learning Libraries
  • Data Visualization
  • SQL
  • Statistics
Soft Skills
  • Effective Communication
  • Teamwork
  • Analytical Thinking
Certifications
  • Google Professional Machine Learning Engineer
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms: Experience with cloud services like AWS, Azure, or Google Cloud.
  • Experience in deep learning: Hands-on experience with deep learning techniques and architectures.

Benefits

  • Competitive salary package
  • Health and wellness benefits
  • Flexible working conditions
  • Professional development opportunities

Company Culture

  • Innovation: Encouraging creative thinking and innovation within the team.
  • Collaboration: Promoting teamwork and open communication across departments.
  • Employee Development: Investing in employee growth through training and mentorship programs.
Status: Closed