Machine Learning Engineer

Cape Town FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join our team as a Machine Learning Engineer, where you will apply your skills in data science to design machine learning models and algorithms. Your efforts will be crucial in extracting insights from vast datasets and improving our technology solutions.

Responsibilities

  • Build and maintain machine learning pipelines to support business objectives.
  • Conduct thorough analyses of model performance, implementing improvements as needed.
  • Work alongside product managers to define and prioritize ML initiatives.
  • Present findings and recommendations to stakeholders, adapting information for various audiences.
  • Utilize cloud platforms for the deployment and management of ML workloads.

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
  • TensorFlow
  • R
  • SQL
  • Machine Learning Algorithms
  • Data Visualization Tools (e.g., Tableau, Matplotlib)
Soft Skills
  • Analytical thinking
  • Communication
  • Adaptability
Certifications
  • Certified Machine Learning Specialist
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data tools (e.g., Hadoop, Spark): Knowledge of big data frameworks to manage and analyze large datasets.
  • Familiarity with DevOps practices: Experience with CI/CD pipelines and infrastructure automation.

Benefits

  • Health and wellness benefits
  • Flexible hours and remote work options
  • Professional development opportunities
  • Performance bonuses based on contribution

Company Culture

  • Innovation: We promote an innovative environment where creativity is encouraged and rewarded.
  • Collaboration: Our team prioritizes collaboration, ensuring that ideas are shared freely.
  • Growth Mindset: We believe in supporting the continuous growth of our employees through training and mentorship.
Status: Closed