Machine Learning Engineer

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic AI team in Johannesburg. In this role, you will work on designing and implementing machine learning models that drive critical business decisions. Your expertise will help to create scalable AI solutions, optimizing performance and user experience. Ideal candidates will have a strong background in ML algorithms, programming, and data analysis.

Responsibilities

• Design machine learning algorithms tailored to specific business needs.
• Work with cross-functional teams to determine requirements and deliver solutions.
• Ensure the reliability and scalability of machine learning applications.
• Conduct research on state-of-the-art machine learning techniques and apply them where appropriate.
• Collaborate with product managers to define project scopes and timelines.
• Present technical concepts to non-technical stakeholders clearly and understandably.

Requirements

Education

• Bachelor's degree in Computer Science, Engineering, or a related field
• Master's degree is preferred

Experience

• 4+ years of experience in machine learning or AI

Technical Skills

• R
• Keras

Soft Skills

• Teamwork
• Project Management

Certifications

• Data Science Professional Certificate
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Familiarity with big data technologies like Hadoop or Spark: Experience in processing large datasets for machine learning applications.
• Experience with CI/CD for ML workflows: Knowledge of CI/CD practices for machine learning model deployment.

Benefits

• Health, dental, and vision coverage
• Annual performance bonuses
• Flexible hours and remote working options
• Continued education funding
• Wellness programs

Company Culture

• Collaboration: Teamwork is key. We work together across functions to achieve our goals.
• Employee Wellbeing: We prioritize the health and wellbeing of our employees, offering flexible working options.
• Community Engagement: We believe in giving back to the community and support various charitable initiatives.