Machine Learning Engineer

Job Description

We are on the lookout for a skilled Machine Learning Engineer to join our vibrant team in Durban. The ideal candidate will have a solid grounding in machine learning algorithms, statistical analysis, and strong programming skills. You will work on designing, implementing, and deploying machine learning models that enhance our products and services.

Responsibilities

• Design, train, and evaluate machine learning models for various applications.
• Work with cross-functional teams to integrate ML systems into existing infrastructure.
• Analyze the impact of ML solutions on business metrics.
• Identify and troubleshoot issues in ML applications.
• Prepare documentation and presentations on model performance and improvements.

Requirements

Education

• Bachelor's degree in Mathematics or Statistics is preferred
• Master's degree in relevant field is advantageous

Experience

• 5+ years of experience in a similar role with production-level ML systems

Technical Skills

• PyTorch
• R

Soft Skills

• Project management
• Teamwork

Certifications

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning algorithms: Knowledge of applying reinforcement learning techniques in practical scenarios.
• Exposure to big data technologies like Hadoop or Spark: Experience in handling large datasets and optimizing algorithms for performance.

Benefits

• Comprehensive health benefits with medical aid
• Generous annual leave policy
• Flexible working hours with an option for remote work
• Employee training and development programs

Company Culture

• Diversity and Inclusion: We are committed to hiring a diverse workforce and creating an inclusive environment for everyone.
• Empowerment: We empower our team members to take initiative and lead projects with confidence.
• Community Engagement: We actively participate in community initiatives and encourage our employees to get involved.