Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our growing team in Johannesburg. The ideal candidate will work with cutting-edge technologies to develop and implement machine learning models aimed at solving real-world problems. You will collaborate closely with data scientists and researchers to create innovative solutions that drive efficiency and results.

Responsibilities

• Develop innovative machine learning applications that enhance business functionalities.
• Work on feature engineering and selection to improve model accuracy.
• Conduct cross-validation and robustness testing on machine learning models.
• Collaborate closely with product teams to translate business problems into analytical solutions.
• Research and evaluate new algorithms and tools.
• Document processes and workflows related to machine learning projects.
• Assist in scaling machine learning models for production environments.
• Utilize cloud services for deploying machine learning solutions.
• Lead workshops to share machine learning knowledge across teams.
• Engage with external partners and contribute to collaborative projects.

Requirements

Education

• Bachelor's degree in Computer Science or a related field
• Master's degree in a quantitative field is a plus

Experience

• 5+ years of experience in machine learning engineering

Technical Skills

• Python
• Keras

Soft Skills

• Problem-solving
• Interpersonal Skills

Certifications

• AWS Certified Machine Learning - Specialty
• TensorFlow Developer Certificate

Languages

• English: Fluent

Advantageous

• Experience with Big Data technologies: Knowledge of Hadoop, Spark, and similar big data technologies.
• Background in Statistics or Mathematics: Strong foundation in statistics or mathematics for model evaluation.

Benefits

• Comprehensive medical insurance
• Annual leave and sick leave
• Ongoing training and mentorship programs
• Access to cutting-edge tools and technologies

Company Culture

• Diversity and Inclusion: We value diversity and aim to build an inclusive environment for all.
• Work-Life Balance: We encourage a healthy work-life balance for our team.
• Respect and Integrity: We uphold respect and integrity in all our interactions.