Machine Learning Engineer

Durban FULL TIME R41,667 - R66,667 / Month
(R500,000 - R800,000 / Year)

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our Durban team. The ideal candidate will have a solid background in machine learning algorithms and knowledge of software engineering principles. You will be responsible for developing machine learning models and collaborating with cross-functional teams to drive AI initiatives. Join us in harnessing the power of data to transform industries and create impactful solutions.

Responsibilities

  • Design machine learning experiments to optimize processes and systems.
  • Implement data pipelines for the training and validation of models.
  • Evaluate and adapt existing models based on feedback and performance data.
  • Lead projects focused on machine learning integration into existing products.
  • Research and propose new methodologies or technologies to enhance project outcomes.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master’s degree is an asset
Experience
  • 4+ years of experience in AI and machine learning roles
Technical Skills
  • Machine Learning frameworks
  • Natural Language Processing (NLP)
  • Big Data Technologies
Soft Skills
  • Creative problem-solving
  • Team collaboration
Certifications
  • Certified Machine Learning Engineer
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Published Research: Contributions to academic papers or industry publications in AI.
  • Experience with Reinforcement Learning: Familiarity with techniques for developing RL algorithms.

Benefits

  • Comprehensive health and dental insurance
  • Paid time off and holidays
  • Annual performance bonuses
  • Support for continuous education and training

Company Culture

  • Inclusivity: We celebrate diversity and believe that it drives innovation and creativity.
  • Work-Life Balance: We prioritize work-life balance, offering flexible scheduling to meet personal and professional needs.
  • Employee Empowerment: We empower our employees to take initiative and leadership in their work, fostering ownership and accountability.
Status: Closed