AI Engineer

Cape Town FULL TIME R50,000 - R62,500 / Month
(R600,000 - R750,000 / Year)

Job Description

We are seeking an enthusiastic AI Engineer to advance our machine learning capabilities. This position involves creating and refining algorithms while collaborating closely with cross-functional teams to integrate AI solutions into our existing systems. If you thrive in fast-paced environments and are passionate about AI, we want to hear from you.

Responsibilities

  • Lead the design and implementation of machine learning pipelines.
  • Mentor junior engineers in best practices for AI development.
  • Work with data scientists to derive insights and enhance algorithms.
  • Participate in cross-departmental projects to drive AI initiatives.
  • Perform anomaly detection and recommend corrective actions.
  • Evaluate new tools and technologies to enhance efficiency.

Requirements

Education
  • Bachelor's degree in Computer Science, Engineering, or a related discipline
  • PhD in AI or relevant field is a plus
Experience
  • 5+ years of hands-on experience in AI projects
Technical Skills
  • Machine Learning
  • Data Analysis
Soft Skills
  • Communication
  • Adaptability
Certifications
  • Certified Machine Learning Professional
Languages
  • English: Fluent

Advantageous

  • Experience with Deep Learning frameworks: Hands-on experience in building models using frameworks like Keras or PyTorch.
  • Contributions to open-source AI projects: Participation in open-source projects showcasing your capabilities.

Benefits

  • Comprehensive health and dental coverage
  • Remote work options
  • Mentorship programs for career growth
  • Employee wellness initiatives

Company Culture

  • Collaborative Teamwork: We believe in the power of collaboration, fostering a supportive atmosphere where team members thrive.
  • Sustainability Efforts: We are committed to sustainable practices and being environmentally conscious in our operations.
  • Employee Engagement: We actively seek feedback and ensure our team feels valued and heard in decision-making processes.
Status: Closed