Machine Learning Engineer

Cape Town Full-time R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

Join AI Solutions Ltd. as a Machine Learning Engineer in Cape Town. In this role, you will develop robust machine learning models to solve real-world problems. Your expertise in algorithms and data analysis will be pivotal, and you'll collaborate with a diverse team of professionals passionate about technology and innovation.

Responsibilities

  • Perform exploratory data analysis to inform model development.
  • Utilise cloud computing platforms for machine learning deployment.
  • Contribute to the development of internal tools for better model management.
  • Identify trends in data and report findings to stakeholders.
  • Create visualizations to communicate model results effectively.
  • Research new methodologies to increase efficiency in model training.

Requirements

Education
  • Bachelor's degree in a quantitative field
  • Master's degree in Computer Science or Artificial Intelligence is preferred
Experience
  • 5+ years of experience in machine learning or data science
Technical Skills
  • R
  • Natural Language Processing
  • Big Data Technologies
Soft Skills
  • Critical Thinking
  • Adaptability
Certifications
  • AWS Certified Machine Learning
  • Microsoft Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Familiarity with MLOps best practices: Understanding of operationalizing machine learning in production environments.
  • Experience with reinforcement learning: Knowledge in applying reinforcement learning techniques in projects.

Benefits

  • Health, dental, and vision insurance
  • Performance-based bonuses
  • Work-life balance programs and gym memberships
  • Support for ongoing education and certifications

Company Culture

  • Continuous Improvement: We support staff in pursuing personal and professional growth.
  • Work-Life Balance: We value a healthy work-life balance and offer flexible schedules.
  • Open Communication: We foster an environment where feedback and ideas are encouraged.
Status: Closed