Machine Learning Engineer

Job Description

We are on the lookout for a skilled Machine Learning Engineer to join our Johannesburg team. As a pivotal player in our AI initiatives, you will develop and implement machine learning models that drive impactful change in our products. You should have a solid understanding of machine learning algorithms and a knack for problem-solving. If you're passionate about harnessing AI to deliver exceptional insights, we want to hear from you.

Responsibilities

• Build, evaluate, and deploy machine learning solutions across products.
• Collaborate with cross-functional teams to gather requirements for machine learning projects.
• Leverage cloud services for efficient model training and deployment.
• Stay updated on industry trends in machine learning and AI.
• Provide training and support for team members on machine learning techniques.
• Contribute to open-source projects and share knowledge within the community.

Requirements

Education

• Bachelor's degree in Statistics, Mathematics, or related field
• Master's degree in Machine Learning or Data Science is preferred

Experience

• 5+ years of experience in machine learning and data analysis

Technical Skills

• R
• SQL

Soft Skills

• Problem-solving
• Effective Communication

Certifications

• Google Data Scientist Professional Certificate
• TensorFlow Developer Certificate

Languages

• English: Fluent

Advantageous

• Experience with cloud platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying ML solutions.
• Participation in Kaggle competitions: Engagement in data science competitions to showcase skills and learn new techniques.

Benefits

• Health and wellness programs
• Generous leave policies
• Continuous learning opportunities
• Team-building retreats
• Work-life balance initiatives

Company Culture

• Diversity and Inclusion: We value diversity in backgrounds and perspectives, creating an inclusive workplace for all.
• Employee Engagement: We prioritize engaging our employees and fostering a positive work environment.
• Sustainability: We are committed to sustainable practices in our operations and developing eco-friendly technologies.