Machine Learning Engineer

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

Job Description

Join our forward-thinking team as a Machine Learning Engineer in Cape Town! You will be responsible for creating and optimizing machine learning models to drive data-driven decisions. The successful candidate will bring a deep understanding of AI frameworks, programming skills, and a passion for innovation.

Responsibilities

  • Develop and enhance machine learning algorithms and pipelines.
  • Work closely with stakeholders to understand data requirements and application needs.
  • Implement best practices for data management and coding standards.
  • Conduct research to advance technology within the field of machine learning.
  • Collaborate in cross-functional teams to achieve project outcomes.
  • Mentor junior staff in machine learning concepts and practices.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • scikit-learn
Soft Skills
  • Analytical skills
  • Team collaboration
Certifications
  • Machine Learning Certification from a recognized institution
  • AWS Certified Machine Learning Specialty
Languages
  • English: Fluent

Advantageous

  • Experience with deep learning frameworks: Familiarity with advanced deep learning frameworks such as Keras and PyTorch.
  • Knowledge of big data technologies: Experience with big data tools such as Spark or Hadoop.

Benefits

  • Competitive salary with performance bonuses
  • Comprehensive health and wellness benefits
  • Flexible working hours including remote options
  • Professional development opportunities

Company Culture

  • Innovation: We thrive on innovative solutions and encourage creative thinking.
  • Collaboration: Teamwork is essential here, and we support each other to achieve our goals.
  • Inclusivity: We value diverse perspectives and strive for an inclusive workplace.
Status: Closed