Machine Learning Engineer

Cape Town FULL TIME R54,167 - R75,000 / Month
(R650,000 - R900,000 / Year)

Job Description

We are seeking a Machine Learning Engineer to join our vibrant Cape Town team. The ideal candidate will have a robust understanding of algorithms and experience in developing predictive models. This is an exciting opportunity to work on cutting-edge AI projects that make a difference.

Responsibilities

  • Work on end-to-end machine learning projects from conception to deployment.
  • Conduct experiments and analyze results to optimize algorithms.
  • Collaborate with other engineers to integrate ML models into applications.
  • Assist in developing data strategies to support ML initiatives.
  • Provide insights and recommendations to improve product offerings.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree is preferred
Experience
  • 3-5 years of experience in machine learning or data analysis
Technical Skills
  • R
  • Keras
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • Google Professional Machine Learning Engineer
  • Data Science Certification from a recognized institution
Languages
  • English: Fluent

Advantageous

  • Experience with data visualization tools: Ability to present insights using tools like Tableau or Power BI.
  • Knowledge of reinforcement learning techniques: Experience in applying reinforcement learning in practical scenarios.

Benefits

  • Comprehensive health and wellness benefits
  • Retirement savings plan with matching contributions
  • Flexible work arrangements including remote options
  • Professional development and training opportunities

Company Culture

  • Continuous Learning: Our company is committed to continuous learning and development, encouraging team members to expand their skill sets.
  • Work-Life Balance: We support a healthy work-life balance to ensure our employees remain happy and productive.
  • Community Engagement: We believe in giving back to the community and actively engage in social initiatives.
Status: Closed