AI Research Scientist

Job Description

Join our team as an AI Research Scientist in Durban! We are looking for a creative and analytical individual who can design and implement machine learning algorithms. Your expertise will help us develop cutting-edge AI solutions.

Responsibilities

• Design innovative AI models and conduct experiments to test their efficiency.
• Develop algorithms for data preprocessing and feature engineering.
• Work with data engineers to ensure the smooth integration of AI solutions.
• Present findings and technical solutions to a varied audience.
• Assist in creating documentation for AI algorithms and methodologies.
• Collaborate with product teams to define AI-related product requirements.
• Explore and troubleshoot complex issues in machine learning systems.
• Engage in industry conferences and workshops to represent the company.

Requirements

Education

• Master's degree in Artificial Intelligence or a related field
• PhD is highly regarded

Experience

• 5+ years working in AI research and development

Technical Skills

• Deep Learning
• Natural Language Processing

Soft Skills

• Critical Thinking
• Adaptability

Certifications

• Deep Learning Specialization by Andrew Ng
• AI Certification from a reputable organization

Languages

• English: Fluent

Advantageous

• Exposure to Robotics and Automation: Hands-on experience in robotics applications where AI plays a crucial role.
• Familiar with Ethical AI Practices: Understanding the ethical considerations and implications of AI systems.

Benefits

• Comprehensive health benefits and wellness initiatives
• Generous annual leave and public holiday policies
• Support for continuing education and certifications
• Collaborative and innovative team environment

Company Culture

• Team Spirit: We foster a strong sense of teamwork, promoting collaboration and support amongst colleagues.
• Work-Life Balance: We prioritize well-being and encourage a healthy work-life balance for our employees.
• Open Communication: We maintain an open communication policy where feedback is encouraged and valued.