AI/ML Research Engineer

Johannesburg Full-time R50,000 - R60,000 / Month
(R600,000 - R720,000 / Year)

Job Description

Join our dynamic team as an AI/ML Research Engineer. In this role, you will be responsible for designing and implementing cutting-edge AI models and algorithms that power our platforms. You'll work closely with data scientists and product managers to create efficient, scalable solutions that enhance our offerings and drive customer satisfaction.

Responsibilities

  • Design, develop, and deploy machine learning models and algorithms.
  • Collaborate with cross-functional teams to determine project requirements.
  • Conduct experiments to validate model performance and accuracy.
  • Optimize machine learning models for scalability and efficiency.
  • Create documentation for models, algorithms, and processes.
  • Stay updated with the latest AI/ML research trends and technologies.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science or related field
  • Master's degree in AI/ML is preferred
Experience
  • 3+ years of experience in AI/ML development
Technical Skills
  • Python
  • Machine Learning Frameworks
  • Statistical Analysis
  • Data Visualization
Soft Skills
  • Analytical Thinking
  • Team Collaboration
Certifications
  • Certified Machine Learning Specialist
  • Data Science Professional Certificate
Languages
  • English: Fluent

Advantageous

  • Familiarity with AI Ethics: Understanding of ethical implications of AI technologies.
  • Experience with Graph Databases: Exposure to working with graph databases like Neo4j.

Benefits

  • Health, dental, and disability cover
  • Retirement savings plan with match
  • Flexible working hours
  • Training and development opportunities

Company Culture

  • Innovation: We foster an atmosphere of innovation, encouraging creative solutions to complex challenges in AI.
  • Collaboration: Teams work collaboratively to share ideas and achieve common objectives.
  • Learning and Growth: We invest in our employees' growth through continuous learning and training opportunities.
Status: Open