Machine Learning Scientist

Job Description

Join us as a Machine Learning Scientist in Pretoria, where you'll develop and implement advanced machine learning models to solve real-world problems. We're looking for someone with a deep understanding of AI methodologies, who can innovate and drive improvement in our projects. You'll collaborate closely with data engineers and product managers to turn data insights into actionable solutions.

Responsibilities

• Design and implement machine learning models and algorithms.
• Collaborate with data engineers to optimize performance and data management.
• Conduct research to improve existing models and technologies.
• Analyze large datasets to identify patterns and trends.
• Work with cross-functional teams to deploy ML solutions.
• Evaluate model performance and make necessary adjustments.
• Prepare technical documentation and present findings to stakeholders.
• Contribute to the development of data strategies.
• Participate in brainstorming sessions to generate innovative solutions.
• Mentor junior team members on ML best practices.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or related field
• Master's degree preferred

Experience

• 3+ years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• Data Visualization

Soft Skills

• Analytical Thinking
• Collaboration
• Problem Solving

Certifications

• Certified Data Scientist
• AWS Certified Machine Learning – Specialty

Languages

• English: Fluent

Advantageous

• Familiarity with cloud platforms: Understanding of AWS or Google Cloud for deploying ML solutions.
• Knowledge of MLOps practices: Experience with operationalizing machine learning models.

Benefits

• Health and wellness benefits
• Performance-based bonuses
• Flexible working conditions
• Opportunities for professional development

Company Culture

• Innovation: We thrive on innovative ideas and creative problem solving.
• Teamwork: Our success is built on teamwork and collaborative efforts.
• Diversity: We embrace diversity and promote an inclusive workplace.