Machine Learning Engineer

Cape Town 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 in Cape Town. You will work on developing and implementing machine learning models and algorithms to solve complex problems and contribute to the development of our cutting-edge AI products. The ideal candidate has a solid background in data science and a passion for pushing the boundaries of what technology can achieve.

Responsibilities

  • Lead efforts to implement innovative machine learning solutions.
  • Develop and maintain documentation related to machine learning projects.
  • Engage in code reviews and contribute to best practices in machine learning code.
  • Collaborate closely with business analysts to translate business requirements into technical solutions.
  • Participate in the full development cycle, from requirement gathering to deployment.

Requirements

Education
  • Bachelor's degree in a relevant field
  • Master's in Data Science or related field is a plus
Experience
  • 3-5 years of practical experience in machine learning and data engineering
Technical Skills
  • R programming
  • SQL
Soft Skills
  • Problem-solving
  • Teamwork
Certifications
  • Google Cloud Professional Data Engineer
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Knowledge of deep learning frameworks: Experience with frameworks like Keras or PyTorch.
  • Background in data visualization: Proficiency in tools like Tableau or Power BI to communicate insights.

Benefits

  • Extensive health and wellness benefits
  • Generous annual leave and paid time off
  • Access to training and certification programs
  • Supportive work-life balance initiatives

Company Culture

  • Diversity and Inclusion: We are committed to fostering a diverse and inclusive workplace where everyone feels valued and heard.
  • Work-Life Balance: We believe in supporting our employees' well-being and work-life balance, with flexible work options available.
  • Social Responsibility: We actively engage in community initiatives and sustainable practices, making a positive impact on society.
Status: Open