AI Engineer

Job Description

We are seeking an AI Engineer to join our dynamic team in Cape Town. The successful candidate will be responsible for developing cutting-edge AI solutions that enhance our products and services. You will work closely with data scientists and product managers to design, implement, and optimize machine learning algorithms while ensuring alignment with our business objectives.

Responsibilities

• Build and evaluate predictive models using Python and relevant frameworks.
• Engage with cross-functional teams to implement AI tools and solutions.
• Support data acquisition and data preprocessing initiatives for machine learning.
• Ensure AI systems are aligned with ethical standards and regulations.
• Train and mentor junior team members in AI techniques.
• Engage in code reviews and constructive feedback sessions.

Requirements

Education

• Bachelor's degree in a relevant field
• Master's degree in Artificial Intelligence is preferred

Experience

• 3-5 years of experience in machine learning or AI development

Technical Skills

• Machine Learning Algorithms
• Deep Learning

Soft Skills

• Critical Thinking
• Adaptability

Certifications

• Machine Learning Specialization

Languages

• English: Fluent

Advantageous

• Experience with Natural Language Processing (NLP): Understanding of NLP techniques and their application in AI projects.
• Familiarity with Agile methodologies: Experience working in Agile environments to enhance project delivery.

Benefits

• Comprehensive medical aid plans for employees and dependents
• Opportunities for further education and certifications
• Work-life balance initiatives including wellness programs
• Annual bonuses based on performance metrics

Company Culture

• Diversity and Inclusion: We value a diverse workforce and strive to create an inclusive environment.
• Employee Well-being: We actively promote holistic well-being, ensuring our employees thrive both personally and professionally.
• Adaptable Work Environment: Flexible work options are available to fit employees' lifestyles.