Machine Learning Engineer

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

Job Description

We are on the lookout for a Machine Learning Engineer who is passionate about building intelligent algorithms and data-driven solutions. You’ll be working on cutting-edge projects that harness the power of machine learning to solve complex problems. The ideal candidate will have a robust understanding of various ML frameworks and languages, along with a knack for innovative thinking.

Responsibilities

  • Develop predictive models using data mining techniques.
  • Utilize natural language processing and deep learning in projects.
  • Identify opportunities for leveraging data to drive business solutions.
  • Engage with cross-functional teams to enhance data flow and model accuracy.
  • Provide technical input and collaborate with other engineering teams.
  • Enhance and maintain existing codebases for scalability.

Requirements

Education
  • Bachelor's degree in Computer Science or related field
  • Master's degree in Data Science or AI is preferred
Experience
  • 5+ years of experience in machine learning or data science roles
Technical Skills
  • Machine Learning Frameworks
  • Big Data Technologies
Soft Skills
  • Problem-solving
  • Adaptability
Certifications
  • Google Professional Data Engineer
Languages
  • English: Fluent

Advantageous

  • Familiarity with Docker and Kubernetes: Experience using Docker for containerization and Kubernetes for orchestration.
  • Knowledge of cloud platforms: Experience with AWS or Azure for deploying ML solutions.

Benefits

  • Competitive compensation package
  • Health and wellness benefits
  • Flexible working hours
  • Work from home options

Company Culture

  • Innovative Environment: We foster an environment that encourages creativity and innovative solutions.
  • Teamwork: Collaboration is at our core; we work together to overcome challenges.
  • Continuous Development: We are committed to the continuous learning and development of our team members.
Status: Closed