Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Tshwane. The ideal candidate will have a solid understanding of machine learning algorithms, data modeling, and an experience in developing AI solutions. You'll be responsible for designing and implementing scalable algorithms, conducting experiments, and collaborating with cross-functional teams to enhance existing products.

Responsibilities

• Research and implement state-of-the-art machine learning techniques.
• Collaborate with software engineers to integrate models into applications.
• Participate in design and architecture discussions.
• Monitor and evaluate machine learning systems in production.
• Coordinate with quality assurance teams for testing.
• Assist in identifying data-related issues and implementing solutions.
• Report on project progress and challenges to management.
• Engage in team-building activities and contribute to a positive team culture.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in Data Science or related field is preferred

Experience

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

Technical Skills

• Python
• Keras

Soft Skills

• Critical thinking
• Team leadership

Certifications

• Google Cloud Certified - Professional Data Engineer
• Certified Machine Learning Specialist

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning: Knowledge in reinforcement learning techniques and applications.
• Knowledge of data visualization tools like Tableau: Ability to effectively present data-driven insights.

Benefits

• Comprehensive health insurance plans
• Retirement savings plan with employer contribution
• Work-life balance initiatives
• Access to continuous learning and training programs

Company Culture

• Continuous Growth: Commitment to employee growth through mentorship and training.
• Open Communication: We encourage transparency and open communication among teams.
• Work-Life Balance: We understand the importance of balancing work and personal life.