Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our vibrant Johannesburg team. In this pivotal role, you will leverage machine learning algorithms and data analysis techniques to deliver impactful solutions. You will work closely with cross-functional teams, ensuring that our projects align with business objectives and industry trends.

Responsibilities

• Implement machine learning algorithms using Python and TensorFlow.
• Collaborate with data scientists to validate models and enhance accuracy.
• Design experiments to evaluate model performance.
• Review and improve existing ML models for better efficiency.
• Create visualization tools to present model outcomes.
• Foster a culture of innovation and continuous learning within the team.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or similar field
• PhD in a relevant area is a bonus

Experience

• 5+ years of experience in AI/ML and statistical analysis

Technical Skills

• R Programming
• Deep Learning
• Big Data Technologies

Soft Skills

• Critical thinking
• Leadership

Certifications

• Professional Data Engineer
• TensorFlow Developer Certificate

Languages

• English: Fluent

Advantageous

• Experience with model optimization techniques: Expertise in fine-tuning ML models for performance improvements.
• Experience with MLOps practices: Familiarity with MLOps practices for deploying and monitoring models.

Benefits

• Attractive salary with annual bonuses
• Comprehensive health insurance and wellness programs
• Flexible work arrangements including hybrid options
• Opportunities for professional development and mentoring

Company Culture

• Continuous Growth: We are committed to the continuous growth of our employees through training and mentorship.
• Diversity and Inclusion: Embracing diversity is fundamental to our team. We welcome individuals from various backgrounds.
• Work-Life Balance: We support a healthy work-life balance, allowing employees to thrive both personally and professionally.