Machine Learning Engineer

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

Job Description

We are seeking a talented and passionate Machine Learning Engineer to join our growing team in Durban. In this role, you will harness the power of artificial intelligence and machine learning to build innovative solutions that enhance our product offerings. The ideal candidate will possess a robust understanding of machine learning algorithms, data processing, and statistical methods.

Responsibilities

  • Lead the development of predictive models for various business applications.
  • Investigate and implement new machine learning techniques.
  • Collaborate with the software development team to integrate AI features into applications.
  • Monitor model performance and make adjustments based on user feedback.
  • Prepare and deliver presentations on project findings to stakeholders.
  • Engage with external AI communities for knowledge sharing and collaboration.

Requirements

Education
  • Bachelor's degree in Engineering, Mathematics, or related field
  • Master's degree is advantageous
Experience
  • 3+ years of practical experience in machine learning or AI
Technical Skills
  • R
  • Apache Spark
Soft Skills
  • Critical Thinking
  • Leadership
Certifications
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Working knowledge of reinforcement learning: Experience in applying reinforcement learning strategies to real-world problems.
  • Skills in big data technologies: Familiarity with big data technologies like Hadoop or Spark.

Benefits

  • Generous paid time off and holiday policies
  • Professional development budget
  • Access to mental health resources
  • Company-sponsored events and outings

Company Culture

  • Collaboration: Collaboration is at the heart of our operations, where we value diverse perspectives and teamwork.
  • Continuous Learning: We are committed to lifelong learning and provide our employees with resources and opportunities to advance their skills.
  • Diversity: Our team is made up of individuals from varied backgrounds, and we celebrate our differences to drive innovation.
Status: Closed