Machine Learning Engineer

Durban FULL TIME R50,000 - R83,333 / Month
(R600,000 - R1,000,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Durban. In this role, you will leverage your expertise in AI and machine learning algorithms to develop and implement cutting-edge solutions. Your contributions will play a vital role in enhancing our products and services while driving innovation in the field.

Responsibilities

  • Research and experiment with new machine learning algorithms and techniques.
  • Monitor model performance and refine as necessary based on real-world feedback.
  • Provide technical support and guidance to junior engineers and interns.
  • Ensure the ethical use of AI technologies and compliance with regulations.
  • Contribute to team brainstorming sessions and strategic planning.

Requirements

Education
  • Bachelor's degree in Data Science or a related field
  • PhD in Artificial Intelligence is preferred
Experience
  • 5+ years of experience in machine learning and advanced analytics
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Team leadership
  • Presentation skills
Certifications
  • Google Professional Data Engineer
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Proficiency in reinforcement learning techniques: Understanding of advanced machine learning strategies.
  • Knowledge of distributed systems: Experience in designing systems that distribute workload across multiple servers.

Benefits

  • Comprehensive health insurance coverage.
  • Retirement savings plan with employer contributions.
  • Work-life balance initiatives.
  • Access to professional training and certification programs.

Company Culture

  • Continuous Learning: We provide ample resources and opportunities for personal and professional growth.
  • Work-life Balance: Our company emphasizes the importance of employee well-being and work-life balance.
  • Community Engagement: We encourage our employees to engage with and support our local communities.
Status: Closed