Machine Learning Engineer

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

Job Description

We are on the lookout for a talented Machine Learning Engineer to join our dynamic team in Cape Town. You will be involved in designing and implementing cutting-edge machine learning models, contributing to the enhancement of our AI products, and pushing the boundaries of technology. Your expertise will help us tackle complex challenges and drive our innovations forward.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines.
  • Collaborate with multidisciplinary teams to integrate ML models into products.
  • Conduct research to identify new ML techniques that can improve business outcomes.
  • Ensure compliance with data governance and ethical AI standards.
  • Communicate findings and interpretations of ML models to non-technical stakeholders.
  • Drive continuous improvement in ML processes and methodologies.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree with a focus on AI/ML is an advantage
Experience
  • 3+ years of hands-on experience in machine learning and data-based projects
Technical Skills
  • Deep Learning
  • Natural Language Processing
Soft Skills
  • Problem-solving
  • Project Management
Certifications
  • Machine Learning by Stanford University
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience in MLOps: Exposure to MLOps practices and tools for model deployment.
  • Knowledge of Data Privacy Regulations: Understanding data protection laws and how they impact ML projects.

Benefits

  • Comprehensive medical aid and wellness programs
  • Yearly bonus based on performance
  • Flexible remote work options
  • Continuous learning and career advancement opportunities

Company Culture

  • Continuous Learning: We support ongoing training and development for our employees.
  • Work-Life Balance: We promote a healthy work-life balance among our team members.
  • Community Engagement: We encourage our team to engage with the community through various initiatives.
Status: Closed