Machine Learning Engineer

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

Job Description

We are on the lookout for an IT Support Specialist to join our vibrant team in Johannesburg. As an IT Support Specialist, you will be responsible for providing technical support and ensuring the smooth operation of IT services. You'll work closely with our clients, understanding their IT needs and solving their technical issues efficiently. Ideal candidates should be passionate about technology, possess strong problem-solving skills, and be adept at communicating with clients.

Responsibilities

  • Architect and build scalable machine learning systems.
  • Analyze large datasets to extract actionable insights.
  • Work closely with cross-functional teams to define project goals and deliverables.
  • Implement best practices for model deployment and maintenance.
  • Participate in code reviews and improve coding standards.
  • Train and support users in leveraging AI tools effectively.

Requirements

Education
  • Bachelor's degree in Computer Science, Statistics, or a related field
  • Master's degree in a relevant discipline preferred
Experience
  • 4+ years of practical experience in machine learning and artificial intelligence
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Problem-Solving
  • Leadership
Certifications
  • Certified Analytics Professional
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Knowledge of big data technologies (Hadoop, Spark): Experience in processing large datasets using big data frameworks.
  • Experience in model validation and optimization: Ability to improve model accuracy through testing and adjustments.

Benefits

  • Attractive salary and annual bonuses
  • Health, dental, and vision coverage
  • Flexible work hours and remote working options
  • Continuous training and career advancement
  • Employee assistance programs

Company Culture

  • Learning and Growth: We encourage employees to pursue learning opportunities and continuous improvement.
  • Open Communication: We maintain open communication and transparency across all levels.
  • Work-Life Balance: We promote a healthy work-life balance for all employees.
Status: Closed