Machine Learning Engineer

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

Job Description

Join our Cape Town team as a Machine Learning Engineer where you will leverage your expertise to build robust machine learning systems. You will work with big data and develop models that improve user experience and drive product innovations. Bring your passion for AI and become a key player in our growing tech landscape.

Responsibilities

  • Develop machine learning pipelines that automate data processing.
  • Conduct research on new ML techniques and approaches to improve outcomes.
  • Assist in preparing technical documentation for implemented models.
  • Collaborate with product management to gather requirements and feedback.
  • Test and validate models in real-world scenarios to ensure usability.
  • Foster a culture of innovation by proposing new ideas and solutions.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree is an added advantage
Experience
  • 4+ years of experience in data science and machine learning projects
Technical Skills
  • R Programming
  • Scikit-Learn
  • Big Data Technologies
Soft Skills
  • Critical Thinking
  • Leadership
Certifications
  • Google Cloud Professional Data Engineer
  • AWS Certified Solutions Architect
Languages
  • English: Fluent

Advantageous

  • Experience working with NLP techniques: Knowledge of natural language processing applications in ML.
  • Background in software engineering principles: Solid understanding of software development methodologies and practices.

Benefits

  • Health and wellness benefits including gym memberships
  • Annual leave and sick leave provisions
  • Employee stock options
  • Regular team-building and social events

Company Culture

  • Learning Culture: Our commitment to continuous learning helps team members to develop their skills and knowledge.
  • Respectful Environment: We prioritize respect and integrity in all interactions among team members.
  • Flexible Work Environment: Providing options for remote work and flexible schedules to maintain a healthy work-life balance.
Status: Closed