Machine Learning Engineer

Job Description

We are on the lookout for a skilled Machine Learning Engineer to join our Cape Town team. The successful candidate will be responsible for designing and implementing machine learning models that enhance our AI capabilities. Your contribution will have a direct impact on our product development and decision-making processes, driving innovations that could reshape industries. If you're passionate about AI and eager to be part of a forward-thinking company, we'd love to hear from you.

Responsibilities

• Create and validate predictive models using various machine learning techniques.
• Collaborate with software developers to enhance product functionality.
• Monitor model performance and implement necessary adjustments.
• Identify areas for improvement in data collection and processing.
• Assist in training and mentoring junior team members.
• Participate in technical workshops and conferences.

Requirements

Education

• Bachelor's degree in Computer Science or related field.
• Master's degree in Machine Learning or Data Science preferred.

Experience

• 5+ years of experience with machine learning and AI technologies.

Technical Skills

• Python
• TensorFlow
• Keras
• Big Data Technologies

Soft Skills

• Creative thinking
• Collaboration

Certifications

• Google Professional Data Engineer
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience with computer vision techniques.: Hands-on knowledge of computer vision for object detection and recognition.
• Familiarity with big data tools like Apache Spark.: Experience with Apache Spark for large-scale data processing.

Benefits

• Comprehensive health and wellness benefits.
• Retirement savings plans with company match.
• Professional development opportunities.
• Collaborative and inclusive workplace culture.

Company Culture

• Diversity and Inclusion: We embrace diverse perspectives and backgrounds, making our team stronger.
• Growth Mindset: We foster a culture of learning and personal growth for all employees.