AI/ML Engineer

Job Description

Join our talented engineering team as an AI/ML Engineer in Cape Town. Your experience will be key in deploying advanced AI applications. You’ll collaborate with cross-functional teams to develop machine learning solutions that transform big data into actionable insights, enhancing our capability in various business sectors.

Responsibilities

• Engage in the end-to-end lifecycle of machine learning projects from data acquisition to deployment.
• Analyze large datasets and preprocess them for training and testing models.
• Collaborate in developing automated systems for continuous integration of ML workflows.
• Mentor junior engineers and interns in AI techniques and tools.
• Create clear and actionable documentation for models and data processing steps.
• Communicate complex technical concepts to non-technical stakeholders.

Requirements

Education

• Bachelor's degree in Computer Science or Statistics
• Master's degree in ML/AI or related field desirable

Experience

• 3+ years of hands-on experience in AI/ML development

Technical Skills

• R
• Deep Learning

Soft Skills

• Creativity
• Critical Thinking

Certifications

• Machine Learning Certification from Coursera
• TensorFlow Developer Certificate

Languages

• English: Fluent

Advantageous

• Experience with Docker: Proficiency in containerizing applications using Docker for easy deployment.
• Familiarity with MLOps tools: Experience in deploying, monitoring, and maintaining machine learning models in production environments.

Benefits

• Comprehensive health cover and wellbeing programs.
• Generous leave policies including family and personal days.
• Opportunities for growth and mentorship programs.
• Team-building retreats and events.

Company Culture

• Continuous Learning: Our team is committed to lifelong learning and improvement. We offer ongoing training and professional development.
• Work-Life Balance: We promote a healthy work-life balance through flexible working conditions and supportive practices.
• Transparency and Trust: We prioritize transparent communication and trust within our teams, fostering a positive workplace atmosphere.