Machine Learning Engineer

Job Description

We are looking for a Machine Learning Engineer to join our dynamic team in Johannesburg. The successful candidate will play a pivotal role in designing and implementing machine learning models, utilizing their expertise to enhance our product offerings. This role involves data analysis, algorithm development, and collaboration with cross-functional teams to innovate solutions that will shape the future of our projects.

Responsibilities

• Build and evaluate machine learning models to solve real-world problems.
• Optimize algorithms for improved accuracy and efficiency.
• Work closely with product teams to define opportunities for leveraging data to drive business solutions.
• Participate in code reviews to maintain high-quality standards.
• Implement machine learning best practices in production settings.
• Identify areas for improvement in existing models and make necessary adjustments.
• Create robust testing frameworks for models to minimize bias and maximize performance.
• Work collaboratively in an agile environment as part of the development team.
• Document project outcomes and processes effectively.
• Contribute to open-source projects related to machine learning.

Requirements

Education

• Bachelor's degree in Mathematics, Computer Science, or related field
• Master's degree in a related field is advantageous

Experience

• 3-5 years of experience in machine learning roles

Technical Skills

• R
• Keras

Soft Skills

• Problem-solving
• Adaptability

Certifications

• Google Cloud Professional Data Engineer
• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Experience with Natural Language Processing: Knowledge or experience in applying NLP techniques to training and evaluating models.
• Familiarity with Big Data Technologies: Exposure to big data technologies such as Hadoop or Spark.

Benefits

• Comprehensive health coverage including wellness programs
• Annual training budget for skill development
• Casual dress code and modern work environment
• Remote working days available
• Employee referral bonuses

Company Culture

• Diversity and Inclusivity: We value diverse perspectives and foster an inclusive workspace.
• Work-Life Balance: We believe in maintaining a balance between work and personal life for a happier workforce.
• Community Involvement: We actively engage with our community, contributing positively through various initiatives.