Machine Learning Engineer

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

Job Description

We are in search of a skilled Machine Learning Engineer to join our brilliant team in Pretoria. The successful candidate will work on developing and deploying machine learning models and algorithms to solve real-world problems. This role requires a profound understanding of machine learning concepts, as well as experience in programming and data analysis.

Responsibilities

  • Lead the design and implementation of machine learning algorithms.
  • Work closely with stakeholders to align machine learning projects with strategic goals.
  • Develop robust data collection processes to support model training.
  • Evaluate model performance using appropriate metrics and retrain models as necessary.
  • Engage in peer code reviews to maintain high quality in codebase.
  • Interface with external partners to integrate new technologies.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Data Science or related field is preferred
Experience
  • 4+ years of experience in machine learning with a focus on model deployment
Technical Skills
  • R
  • Python
Soft Skills
  • Problem-solving
  • Teamwork
Certifications
  • Google Professional Machine Learning Engineer
  • Data Science Specialization from Coursera
Languages
  • English: Fluent

Advantageous

  • Experience with big data tools: Experience in using big data platforms like Apache Spark.
  • Familiarity with Docker: Understanding of containerization technologies and their application in ML.

Benefits

  • Comprehensive health benefits including dental and vision
  • Retirement plan with company matching
  • Work-life balance with flexible hours
  • Career growth opportunities
  • Regular team-building events

Company Culture

  • Collaborative Spirit: We promote teamwork and collaboration across all levels of the organization.
  • Employee Wellness: We prioritize the well-being of our employees with wellness programs and resources.
  • Work-Life Balance: We understand the importance of work-life balance and support flexible hours.
Status: Closed