Machine Learning Engineer

East London FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We are seeking a motivated and skilled Machine Learning Engineer to join our innovative team in East London. The ideal candidate will have a strong foundation in machine learning algorithms, data analysis, and software engineering principles. You'll be expected to contribute to the development of advanced machine learning models that enhance our product offerings. Your role will involve collaborating with data scientists and software developers to create effective solutions that meet business goals. If you are passionate about AI and eager to work on challenging projects, this is the perfect opportunity for you.

Responsibilities

  • Implement machine learning algorithms and evaluate their effectiveness on real-world datasets.
  • Collaborate with data engineers to enhance data collection and processing methods.
  • Debug and troubleshoot machine learning applications to improve system robustness.
  • Mentor junior engineers and interns in machine learning best practices.
  • Publish research results and findings in relevant publications or conferences.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree is a big advantage
Experience
  • 4-6 years of experience in machine learning, statistics, and data analysis
Technical Skills
  • R Programming
  • Machine Learning Frameworks
  • Big Data Technologies
Soft Skills
  • Problem-Solving
  • Adaptability
Certifications
  • Deep Learning Specialization
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with MLOps: Familiarity with MLOps practices is an added advantage.
  • Experience with data engineering principles: Background in data pipelines and data warehousing is beneficial.

Benefits

  • Comprehensive health insurance package
  • Performance bonuses
  • Flexible work arrangements
  • Workshops and training opportunities

Company Culture

  • Diversity and Inclusion: We value diversity and strive to create an inclusive workplace that reflects the communities we serve.
  • Open Communication: We promote open communication and transparency at all levels of the organization.
  • Fun and Engaging Environment: We make work enjoyable by organizing team-building activities and social events.
Status: Closed