ML Engineer

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

Job Description

We are on the lookout for an experienced ML Engineer to join our innovative team. The ideal candidate will have a strong foundation in machine learning algorithms, data preprocessing, and model deployment. This is a unique opportunity to work on groundbreaking AI projects that have the potential to transform industries and improve operational efficiency.

Responsibilities

  • Lead the design and architecture of machine learning systems.
  • Mentor junior engineers and share knowledge on best practices.
  • Explore new data sources and integrate them into the machine learning workflows.
  • Provide analytical support to product managers and business leaders.
  • Apply statistical methods to improve model robustness and reliability.
  • Collaborate with development teams to facilitate seamless integration of machine learning solutions into applications.

Requirements

Education
  • Bachelor's degree in a technical field
  • Master's degree preferred
Experience
  • 2-4 years of experience in machine learning or data science
Technical Skills
  • R Programming
  • Machine Learning Algorithms
Soft Skills
  • Solution-oriented mindset
  • Adaptability
Certifications
  • Google Cloud Professional Data Engineer
  • Certified Machine Learning Engineer
Languages
  • English: Fluent

Advantageous

  • Published research in AI applications: Demonstrated experience through research contributions in machine learning.
  • Contributions to open-source ML projects: Experience participating in or contributing to open-source projects related to machine learning.

Benefits

  • Health, dental, and vision coverage
  • Competitive pension scheme
  • Flexible work-life balance options
  • Employee training and professional development
  • Office wellness initiatives

Company Culture

  • Commitment to diversity: We value diverse perspectives and backgrounds as critical to our success.
  • Continuous improvement: We embrace continuous feedback to enhance personal and professional growth.
  • Community involvement: We support various community initiatives and encourage employee participation.
Status: Open