Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Johannesburg. The ideal candidate will be proficient in developing algorithms and statistical models that enable machines to perform tasks without explicit instructions. You will work on exciting projects that leverage advanced data analytics and machine learning techniques to solve real-world problems.

Responsibilities

• Research and apply innovative machine learning techniques.
• Prepare training and validation datasets for various models.
• Analyze model performance results and iterate on designs to improve accuracy.
• Communicate complex technical concepts effectively to non-technical stakeholders.
• Participate in Agile development processes and sprint planning.
• Contribute to the development of internal tools to improve workflow.
• Lead workshops on machine learning and data analysis for the team.

Requirements

Education

• Bachelor's degree in a quantitative field
• Master's degree in Data Science or related field preferred

Experience

• 5+ years of experience in machine learning or AI projects

Technical Skills

• R
• Keras
• Big Data Technologies

Soft Skills

• Teamwork
• Creativity

Certifications

• AWS Certified Machine Learning
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience with Docker and Kubernetes: Knowledge of containerization and orchestration tools for deploying machine learning models.
• Background in statistics and data mining: Strong foundation in statistics and experience with data mining techniques.

Benefits

• Comprehensive health coverage and wellness programs
• Retirement savings plan with company contributions
• Work-life balance initiatives and remote work flexibility
• Access to cutting-edge tools and technologies for professional growth

Company Culture

• Inclusivity: We celebrate diversity and inclusivity, ensuring every voice is heard and valued.
• Work-Life Balance: We prioritize work-life balance, offering flexible work arrangements for our team.