Production ML Engineer: AI Systems, MLOps & Automation

Network Finance; Wes-Kaap; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Network Finance is seeking an experienced engineer to bridge data science and software engineering, turning experimental models into scalable, production-ready AI solutions. You will partner with data scientists, engineers, and stakeholders to push intelligent systems across document processing, automation, forecasting, and classification domains.

The role focuses on deploying models via APIs and pipelines, building robust data pipelines, and ensuring reliable, measurable business outcomes

Qualifications

• Education: Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field.
• Experience: Production-grade ML solutions, Python, APIs, large datasets.
• Skills: Python, REST APIs, SQL, Git, CI/CD, testing, ML model eval/optimisation.

Responsibilities

• Design, build, deploy, and maintain ML/AI solutions in production environments.
• Develop systems for document processing, automation, forecasting, classification, optimisation.
• Transform models into scalable production services and APIs.
• Establish CI/CD, testing, orchestration, monitoring, and model management.

Skills

Python

REST API development

CI/CD

Automated testing

Git

Data analysis

Machine learning

Production ML

SQL

Cloud deployments

MLOps

Education

Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering

Tools

Snowflake

Snowpark

dbt

Docker

Kubernetes

Job description

Network Finance is seeking an experienced engineer to bridge data science and software engineering, turning experimental models into scalable, production-ready AI solutions. You will partner with data scientists, engineers, and stakeholders to push intelligent systems across document processing, automation, forecasting, and classification domains.

The role focuses on deploying models via APIs and pipelines, building robust data pipelines, and ensuring reliable, measurable business outcomes