ML Engineer: Build Production AI & Data Pipelines

Badger Holdings (Pty) Ltd; George; Hybrid; ZAR 600,000 - 1,000,000; Full time

Job summary

Badger Holdings seeks a Machine Learning Engineer to bridge Data Engineering and MLOps, turning experiments into production-grade AI solutions. You will focus on data pipelines, feature datasets and Snowflake assets powering model development.

Join a team delivering AI capabilities across insurance-related platforms, with strong emphasis on deployment, monitoring and governance of ML systems.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field.
• Postgraduate qualification in AI/ML or Data Science is advantageous.
• Industry certificates in Azure, Google Cloud, Snowflake or ML are advantageous.

Responsibilities

• Design and build scalable feature pipelines and training datasets for ML models.
• Develop and maintain high-quality data assets within Snowflake.
• Build reliable, monitored data pipelines for model training and inference.
• Collaborate with Data Engineers to align with platform standards.
• Deploy, monitor and maintain ML models in production with CI/CD.

Job description

Badger Holdings seeks a Machine Learning Engineer to bridge Data Engineering and MLOps, turning experiments into production-grade AI solutions. You will focus on data pipelines, feature datasets and Snowflake assets powering model development.

Join a team delivering AI capabilities across insurance-related platforms, with strong emphasis on deployment, monitoring and governance of ML systems.