Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer, you'll develop and optimize machine learning models and algorithms to solve complex problems. Join our team in Cape Town and contribute to cutting-edge AI solutions while enjoying a flexible working environment.

Responsibilities

  • Analyze large datasets and extract actionable insights to inform business strategies.
  • Collaborate on cross-functional teams to align ML projects with company goals.
  • Mentor and share knowledge with junior engineers in AI concepts.
  • Document ML processes and findings for future reference.
  • Engage in troubleshooting and resolving issues within ML frameworks.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's degree in Data Science or a related field is preferred
Experience
  • 5+ years of experience in machine learning, AI, or data analytics
Technical Skills
  • Deep Learning Frameworks (Keras, PyTorch)
  • Data Visualization Tools (Tableau, Matplotlib)
Soft Skills
  • Creative Thinking
  • Adaptability
Certifications
  • Deep Learning Specialization
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Understanding of Big Data technologies (Hadoop, Spark): Knowledge of Big Data tools for handling large datasets.
  • Experience in deploying machine learning solutions in production: Hands-on experience with deploying models in a live environment.

Benefits

  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company contributions
  • Flexible working arrangements
  • Access to professional development opportunities

Company Culture

  • Diversity and Inclusion: We value diversity and actively cultivate an inclusive workplace.
  • Flexible Work Environment: Our hybrid model allows for flexibility and work-life balance.
  • Commitment to Sustainability: We are dedicated to sustainable practices in our operations and products.
Status: Closed