ML Engineer

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

Job Description

Join our team as an ML Engineer, where you will be instrumental in leveraging machine learning to solve real-world problems. You'll work on building scalable ML systems that enhance our product offerings and improve user experiences. This role requires someone with a strong analytical mindset and the ability to innovate within a fast-paced environment.

Responsibilities

  • Lead initiatives on machine learning projects from inception to deployment.
  • Ensure model accuracy through extensive testing and validation.
  • Collaborate with multidisciplinary teams to enhance product effectiveness.
  • Educate colleagues on AI capabilities and applications.
  • Analyze user behavior data to refine models and algorithms.
  • Stay updated with the latest trends in AI and machine learning.
  • Present findings and model outcomes to stakeholders.
  • Contribute to open-source projects in the AI community.

Requirements

Education
  • Bachelor's degree in Statistics, Data Science, or related field
  • Master's degree is advantageous
Experience
  • 3+ years of experience with machine learning and AI frameworks
Technical Skills
  • Python
  • Keras
  • R
  • Power BI
Soft Skills
  • Teamwork
  • Creativity
Certifications
  • Machine Learning by Coursera
  • Data Science Professional Certificate by IBM
Languages
  • English: Fluent

Advantageous

  • Understanding of big data technologies: Knowledge of distributed computing frameworks such as Spark or Hadoop.
  • Participation in open-source projects: Engagement in the AI community through contributions.

Benefits

  • Health and wellness programs
  • Employee assistance programs
  • Flexible remote work policies
  • Discounts on tech products and services

Company Culture

  • Continuous Learning: We support the ongoing development and growth of our employees.
  • Community Involvement: We engage in community outreach and volunteer initiatives.
  • Work-Life Balance: We prioritize the well-being of our employees and promote a healthy work-life balance.
Status: Closed