Machine Learning Engineer

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

Job Description

We are seeking an experienced Machine Learning Engineer to join our vibrant team in Durban. You'll leverage your expertise to design impactful ML models, interpret complex data, and contribute to innovative projects that lead the future of our industry. Your role will be crucial in enhancing our product offerings.

Responsibilities

  • Lead machine learning initiatives from concept through deployment.
  • Utilize cloud platforms for deploying machine learning models and managing data.
  • Develop interactive models that can be integrated into the user interface.
  • Iterate on existing models based on user feedback and performance metrics.
  • Support the team by engaging in discussions on best practices for machine learning.

Requirements

Education
  • Bachelor's degree in Machine Learning, Statistics, or related field
  • Master's degree in a relevant field is preferred
Experience
  • 4-6 years of experience in machine learning projects
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Problem-solving
  • Team Leadership
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified Azure Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience in Kaggle competitions: Participation in data science competitions to enhance skills and build portfolio.
  • Familiarity with reinforcement learning techniques: Understanding of reinforcement learning applications and frameworks.

Benefits

  • Comprehensive health benefits including dental and vision care
  • Generous vacation leave and paid time off
  • Company-sponsored training and certifications
  • Employee assistance programs for wellbeing

Company Culture

  • Diversity and Inclusion: We are committed to an inclusive workplace that values diverse perspectives.
  • Work-Life Balance: We prioritize the well-being of our employees and encourage a healthy work-life balance.
  • Empowerment: We empower our employees to take initiative and make impactful contributions.
Status: Closed