Machine Learning Engineer

Job Description

We are in search of a skilled Machine Learning Engineer to join our passionate team in Durban. The successful candidate will leverage their experience in artificial intelligence to develop innovative solutions aimed at improving our products and services. You will work closely with data scientists and software engineers to implement machine learning models that can analyze data and provide actionable insights.

Responsibilities

• Collaborate with stakeholders to understand business challenges and design tailored AI solutions.
• Monitor and maintain machine learning systems to ensure they operate efficiently.
• Evaluate and benchmark different machine learning frameworks and tools.
• Assist in the development and execution of machine learning training programs for staff.
• Support the integration of machine learning models into existing software applications.

Requirements

Education

• Bachelor's degree in a quantitative field (Computer Science, Mathematics, etc.)
• Master's degree in Data Science or similar is an advantage

Experience

• 4+ years of experience in machine learning applications

Technical Skills

• Machine Learning Frameworks
• Data Visualization Tools

Soft Skills

• Critical thinking
• Effective communicator

Certifications

• Google Cloud Machine Learning Engineer
• Certified Analytics Professional

Languages

• English: Fluent

Advantageous

• Familiarity with Natural Language Processing: Experience with NLP techniques for text data processing.
• Experience with reinforcement learning: Knowledge of reinforcement learning algorithms and practices.

Benefits

• Health and dental coverage
• Yearly bonuses based on performance
• Flexible schedules with remote work options
• Education reimbursements for career growth

Company Culture

• Empowerment: We empower our teams to take ownership of their projects and contribute meaningfully to our goals.
• Continuous Learning: We support continuous learning and provide opportunities for career advancement through training and development programs.
• Work-Life Balance: Maintaining a healthy work-life balance is crucial. We offer flexible schedules to accommodate personal commitments.