Machine Learning Engineer

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

Job Description

We’re on the lookout for a talented Machine Learning Engineer who is excited to push the envelope in the rapidly evolving field of artificial intelligence. In this role, you will design and implement machine learning models and algorithms, working collaboratively with cross-functional teams to integrate these technologies into our suite of products. Your insights will empower data-driven decision-making and revolutionize how we approach challenges.

Responsibilities

  • Design and implement machine learning workflows to address specific business challenges.
  • Analyze large datasets to derive insights and drive model enhancements.
  • Collaborate with software engineers to integrate machine learning models into production systems.
  • Monitor the performance of machine learning algorithms and conduct regular updates.
  • Participate in peer reviews and contribute to team knowledge sharing.
  • Stay updated on the latest trends and advancements in ML and AI technologies.

Requirements

Education
  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
  • Data Visualization
Soft Skills
  • Analytical thinking
  • Team collaboration
Certifications
  • Certified Data Scientist
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms like AWS or Azure: Knowledge of deploying machine learning models in a cloud environment.
  • Experience in NLP: Familiarity with natural language processing techniques.

Company Culture

  • Innovation: Our culture thrives on creativity and innovation, encouraging employees to explore new ideas and approaches.
  • Team Spirit: We value collaboration and foster a team-oriented environment where everyone's input is respected.
  • Diversity: We believe diversity drives innovation and are committed to creating an inclusive work place.
Status: Open