Machine Learning Engineer

Pietermaritzburg FULL TIME R40,000 - R50,000 / Month
(R480,000 - R600,000 / Year)

Job Description

Are you passionate about artificial intelligence and machine learning? We are seeking a Machine Learning Engineer to contribute to our projects in Pietermaritzburg. In this role, you will design, test, and deploy machine learning models to solve complex problems and leverage data for actionable insights. Bring your skills to our talented team and drive the future of AI!

Responsibilities

  • Create effective data pipelines for model training and evaluation.
  • Collaborate with software developers to integrate models into existing systems.
  • Research emerging trends in machine learning and suggest improvements.
  • Identify opportunities for optimization within the data ecosystem.
  • Assist in mentoring junior engineers and fostering a learning environment.

Requirements

Education
  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
Experience
  • 5+ years of experience in machine learning or data science roles
Technical Skills
  • Deep Learning
  • Machine Learning Frameworks
Soft Skills
  • Problem-Solving
  • Teamwork
Certifications
  • Google Professional Machine Learning Engineer
  • Machine Learning Certification from Coursera
Languages
  • English: Fluent

Advantageous

  • Familiarity with DevOps practices: Understanding of CI/CD pipelines and version control systems like Git.
  • Experience with data visualization tools: Ability to present data findings through tools like Tableau or Power BI.

Benefits

  • Comprehensive health insurance
  • Annual bonus based on company performance
  • Remote working options available
  • Support for further education and training

Company Culture

  • Diversity and Inclusion: We are dedicated to building a diverse workforce that reflects the communities we serve.
  • Open Communication: We prioritize open lines of communication to facilitate feedback and team input.
  • Work-Life Balance: We value the well-being of our team members and promote a healthy work-life balance.
Status: Closed