AI Research Scientist

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

Job Description

We are seeking an AI Research Scientist who is passionate about artificial intelligence and machine learning. In this role, you will conduct research and develop innovative AI solutions that address real-world challenges. You will work in a collaborative environment, engaging with cross-functional teams to translate theoretical concepts into practical applications.

Responsibilities

  • Lead the development of new AI methodologies and technologies.
  • Collaborate with external researchers and institutions.
  • Analyze and visualize data to support your research findings.
  • Ensure compliance with ethical standards in AI research.
  • Contribute to the design of experiments and trials for AI projects.
  • Perform algorithm tuning and optimization to enhance performance.
  • Document all phases of research and development processes.
  • Train and fine-tune machine learning models on relevant datasets.
  • Engage with clients to identify AI solutions that meet business needs.
  • Support the continuous integration and deployment of AI systems.

Requirements

Education
  • Master's degree in Artificial Intelligence or Data Science
  • PhD is preferred
Experience
  • 5+ years of hands-on experience in AI research
Technical Skills
  • Statistical Analysis
  • Natural Language Processing (NLP)
Soft Skills
  • Leadership
  • Interpersonal Skills
Certifications
  • Deep Learning Specialization
  • Google AI Certification
Languages
  • English: Fluent

Advantageous

  • Experience with reinforcement learning: Background in reinforcement learning algorithms and applications.
  • Public speaking experience: Ability to present findings at conferences and workshops.

Benefits

  • Comprehensive health and wellness benefits
  • Yearly bonus based on company performance
  • Opportunities for further education and training
  • A vibrant office culture with team-building activities

Company Culture

  • Continuous Learning: Our team members are encouraged to pursue ongoing education and training in their fields.
  • Community Engagement: We participate in local initiatives and support community-driven projects.
  • Work-life Balance: We promote a healthy work-life balance and flexible working environments.
Status: Closed