Machine Learning Engineer

Johannesburg FULL TIME R66,667 - R91,667 / Month
(R800,000 - R1,100,000 / Year)

Job Description

As a Machine Learning Engineer, you will work closely with data scientists and software engineers to create algorithms and predictive models. Your role will involve data pre-processing, model testing, and optimization to ensure effective deployment in real-world scenarios.

Responsibilities

  • Lead machine learning projects from conception to deployment.
  • Research and implement cutting-edge machine learning techniques.
  • Participate in code reviews and provide constructive feedback.
  • Collaborate with IT for deployment of ML models.
  • Engage with external partners for data sharing and collaboration.
  • Support the development of automated tools for data analysis.
  • Present findings and recommendations to technical and non-technical stakeholders.

Requirements

Education
  • Bachelor's degree in Mathematics, Computer Science, or related field
  • Master's degree in a related field is preferred
Experience
  • 4+ years of experience in an AI-focused role
Technical Skills
  • Scikit-Learn
  • Keras
Soft Skills
  • Problem-solving
  • Adaptability
Certifications
  • AWS Certified Machine Learning Specialty
  • Google Cloud Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with cloud platforms (e.g., AWS, Azure): Experience in deploying machine learning models on cloud architecture.
  • Experience with reinforcement learning: Able to apply reinforcement learning methodologies in projects.

Benefits

  • Health and wellness benefits
  • Annual performance bonuses
  • Remote working options
  • Continued education and certification reimbursement

Company Culture

  • Diversity and Inclusion: We are committed to diversity and inclusion as core values that guide us in building teams as vibrant as our products.
  • Flexible Work Environment: We understand that our employees have diverse working styles and needs, and we offer flexibility in our work arrangements.
  • Employee Well-being: We prioritize the health and well-being of our employees, promoting a healthy work-life balance.
Status: Open