Machine Learning Engineer

Job Description

We're on the lookout for a passionate Machine Learning Engineer to join our vibrant team in Johannesburg. The successful candidate will play a critical role in designing and implementing machine learning algorithms to drive our AI projects forward. You will be working with a talented group of data scientists and engineers to build intelligent solutions that can handle large datasets and provide insightful analytics. If you're eager to make a positive impact through technology, we want to hear from you!

Responsibilities

• Create machine learning models that solve real-world problems and improve business processes.
• Evaluate and enhance existing algorithms using a range of statistical techniques.
• Collaborate with product managers to ensure that machine learning solutions align with company objectives.
• Implement best practices and tools for machine learning operations.
• Mentor junior team members in machine learning concepts and practices.
• Collaborate with the data science team to establish shared best practices.

Requirements

Education

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

Experience

• 4+ years of relevant experience in AI and machine learning

Technical Skills

• Deep Learning
• R Programming

Soft Skills

• Teamwork
• Adaptability

Certifications

• Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Familiarity with data visualization tools: Experience with tools like Tableau or Power BI for data analytics.
• Knowledge of natural language processing: Experience working with NLP applications and libraries.

Benefits

• Comprehensive health insurance
• Annual performance bonuses
• Work-from-home flexibility
• Education assistance for further studies

Company Culture

• Empowerment: Employees are empowered to take initiative and lead projects that inspire them.
• Diversity and Inclusion: We celebrate diversity and are committed to creating an inclusive workplace.
• Community Engagement: We actively engage with the community and encourage employee involvement.