Machine Learning Engineer

Cape Town FULL TIME R41,666 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

Join us as a Machine Learning Engineer, where your expertise in AI will contribute to pioneering projects. You’ll work closely with data scientists and software developers to create scalable machine learning solutions that further our goal of technological innovation.

Responsibilities

  • Conduct data pre-processing and validation.
  • Implement machine learning algorithms in production environments.
  • Provide technical guidance to junior engineers and interns.
  • Perform exploratory data analysis to validate model assumptions.
  • Design experiments to optimize machine learning solutions.
  • Collaborate with data engineers to streamline data flow and processing.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science or related field
  • Master's degree is an advantage
Experience
  • 3+ years of hands-on experience in machine learning and data analytics
Technical Skills
  • Python
  • TensorFlow
  • Pandas
  • Scikit-Learn
  • SQL
Soft Skills
  • Analytical thinking
  • Team collaboration
  • Creativity
Certifications
  • Certified Machine Learning Specialist
  • AWS Certified Machine Learning – Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning frameworks: Familiarity with frameworks like PyTorch or Keras for advanced ML model development.
  • Knowledge of cloud platforms: Proficiency in AWS or Azure for deploying machine learning models.

Benefits

  • Medical aid coverage and wellness programs
  • Commission on successful project completions
  • Flexible work environment with opportunities for remote work
  • Professional development and training initiatives

Company Culture

  • Innovation-driven: Our team thrives in a culture of innovation, where fresh ideas are welcomed and encouraged.
  • Continuous Learning: We invest in our people, promoting continuous professional development through workshops and access to online learning.
  • Diversity and Inclusion: We celebrate diversity and strive to build an inclusive work environment where every voice matters.
Status: Closed