Machine Learning Engineer

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

Job Description

We are searching for a Machine Learning Engineer to take our AI projects to the next level. You will collaborate with data scientists and software engineers to develop models that solve complex business problems. Your work will significantly impact our product offerings and customer satisfaction.

Responsibilities

  • Implement state-of-the-art machine learning algorithms and frameworks.
  • Collaborate across teams to align machine learning strategies with business objectives.
  • Analyze large datasets to identify patterns and trends.
  • Report on model performance and insights to senior management.
  • Maintain a strong knowledge of the AI landscape to guide project direction.
  • Contribute to open-source projects to enhance personal learning and share knowledge.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree in AI or a related field will be advantageous
Experience
  • 3-5 years of experience in machine learning or AI development
Technical Skills
  • Python
  • Pandas
  • Machine Learning Frameworks
  • R
  • Data Engineering
Soft Skills
  • Creative problem-solving
  • Adaptability
Certifications
  • Certified Data Scientist
  • AWS Certified Machine Learning
Languages
  • English: Fluent

Advantageous

  • Experience with Natural Language Processing (NLP): Hands-on experience with NLP techniques and libraries.
  • Understanding of Big Data technologies: Familiarity with tools like Spark or Hadoop for handling large datasets.

Benefits

  • Comprehensive health and wellness benefits
  • Annual bonus based on performance
  • Remote work options after probation period
  • Learn and development budget for courses and certifications

Company Culture

  • Diversity and Inclusion: We are committed to building a diverse team and inclusive work environment.
  • Flexibility: We promote a flexible work environment to support work-life balance.
  • Community Engagement: We believe in giving back and encourage our team to participate in community initiatives.
Status: Closed