Machine Learning Engineer

Durban Full-time R45,833 - R66,667 / Month
(R550,000 - R800,000 / Year)

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in Durban. The ideal candidate will have a solid background in machine learning algorithms, data analysis, and software development. You will work on exciting projects that involve building, implementing, and optimizing machine learning models for various applications.

Responsibilities

  • Lead the development of innovative machine learning solutions.
  • Utilize statistical methods to analyze data patterns and trends.
  • Conduct research to develop new algorithms and improve existing models.
  • Engage with product teams to shape product direction through insights from machine learning.
  • Implement best practices for coding, testing, and deployment of machine learning models.
  • Support the data engineering team in data pipeline development.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree in a quantitative discipline is preferred
Experience
  • 4-6 years of experience in machine learning applications
Technical Skills
  • Java
Soft Skills
  • Team leadership
Certifications
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms: Knowledge of AWS, Azure, or Google Cloud for deploying machine learning models.
  • Knowledge of reinforcement learning: Understanding of reinforcement learning techniques and their applications.

Benefits

  • Comprehensive health benefits
  • Professional development funding
  • Work-life balance initiatives
  • Monthly team outings and activities

Company Culture

  • Continuous Learning: We encourage our employees to pursue continuous learning through workshops and training.
  • Flexibility: We offer flexible work arrangements to support our team’s work-life balance.
  • Community Engagement: We are committed to giving back to the community through various outreach programs.
Status: Closed