Machine Learning Specialist

Cape Town FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are looking for a skilled Machine Learning Specialist to join our innovative team in Cape Town. You will be responsible for developing and implementing machine learning models and algorithms to enhance our products and services. The ideal candidate should have a strong background in data science and a passion for AI solutions that create real-world impact.

Responsibilities

  • Implement scalable machine learning solutions for various applications.
  • Work on feature engineering and data preparation for model training.
  • Collaborate with product teams to integrate AI functionalities into products.
  • Guide and share knowledge with team members on machine learning techniques.
  • Test and troubleshoot machine learning algorithms to maximize efficiency.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or a related field
  • Master's degree in Artificial Intelligence is a plus
Experience
  • 4+ years in a machine learning or data analytics role
Technical Skills
  • Python
  • Keras
  • R
Soft Skills
  • Problem Solving
  • Communication
Certifications
  • Google Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with using cloud platforms like AWS or Azure: Proven experience in deploying machine learning models on cloud services.
  • Understanding of natural language processing techniques: Expertise in NLP for extracting insights from unstructured data.

Benefits

  • Comprehensive health insurance package
  • Retirement savings plan with employer contribution
  • Remote work flexibility and work-life balance
  • Investment in employee training and development

Company Culture

  • Focus on Growth: We invest in our employees’ growth, providing opportunities for training and advancement.
  • Employee Empowerment: Team members are encouraged to take initiative and lead projects.
  • Collaborative Environment: We foster an open communication culture where feedback is valued.
Status: Closed