Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer in our Cape Town office, you will contribute to the development of cutting-edge AI solutions. Using your analytical skills, you will refine and implement machine learning algorithms that solve real-world challenges and improve our operational efficiencies.

Responsibilities

  • Build and maintain scalable data pipelines for model training and deployment.
  • Use visualization tools to display model performance results and insights.
  • Collaborate in cross-functional teams to implement AI solutions.
  • Participate in code reviews and contribute to team knowledge base.
  • Document processes and methodologies for transparency and future reference.
  • Assist in the deployment of machine learning applications into production environments.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Machine Learning or Data Science preferred
Experience
  • 3+ years of applied experience in machine learning or AI development
Technical Skills
  • R Programming
  • Deep Learning
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • Google Cloud Certified - Professional Data Engineer
  • Deep Learning Specialization by Andrew Ng
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data Technologies (Hadoop, Spark): Familiarity with big data frameworks for handling large datasets.
  • Participation in Open Source Projects: Active involvement in open-source machine learning projects to enhance collaboration and expertise.

Benefits

  • Comprehensive health insurance coverage
  • Retirement savings plan with company matching
  • Work-life balance through flexible scheduling options
  • Access to learning and development resources

Company Culture

  • Focus on Community Impact: We prioritize projects that have a positive impact on the community and society.
  • Continuous Learning: Our team is dedicated to ongoing education and development.
Status: Open