Machine Learning Engineer

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

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team. You will be responsible for designing and optimizing machine learning algorithms, analyzing large datasets, and delivering actionable insights. Your work will contribute to pioneering AI solutions that drive our business forward. An understanding of deep learning techniques and big data tools is essential. Strong analytical skills and the ability to translate complex problems into simplified machine learning strategies will be key to your success.

Responsibilities

  • Build and implement machine learning systems and algorithms.
  • Manage and optimize data processing workflows.
  • Conduct experiments to test and refine models.
  • Work with stakeholders to integrate machine learning solutions.
  • Provide technical support and guidance to junior team members.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree preferred
Experience
  • 3+ years of experience in machine learning or data analysis
Technical Skills
  • Python
  • TensorFlow
  • Machine Learning Algorithms
  • Data Analysis
Soft Skills
  • Critical Thinking
  • Communication
Certifications
  • Certified Machine Learning Engineer
  • Google Cloud ML Certification
Languages
  • English: Fluent

Advantageous

  • Experience with AWS or Azure ML Platforms: Familiarity with cloud platforms for deploying machine learning models.
  • Familiarity with DevOps practices: Understanding of CI/CD practices in ML model deployment.

Benefits

  • Comprehensive health, dental, and vision benefits
  • Flexible annual leave
  • Work-from-home options
  • Employer-sponsored training and development programs

Company Culture

  • Innovation Driven: We encourage a culture of innovation and creativity, empowering our team to bring their ideas to life.
  • Supportive Environment: Our team is supportive and collaborative, fostering a sense of belonging and camaraderie.
  • Learning and Development: Continuous growth and learning are at the forefront of our culture, with numerous training opportunities available.
Status: Closed