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Machine Learning Engineer

Build and deploy machine learning models into real products and workflows.

payments Avg: R80,000

description Overview

ML Engineers productionise models, manage model pipelines, monitor performance, and collaborate with data engineers and product teams. Roles often exist in fintech, telecoms, and data-heavy organisations.

**A Day in the Life:**
Experimentation, model evaluation, deployment work, and monitoring drift and accuracy.

schedule A Day in the Life

09:00

Review model performance and monitoring dashboards

10:30

Feature engineering / training experiments

13:00

Deploy/iterate model services and pipelines

15:30

Stakeholder sync and documentation

trending_up Career Path

Step 1

Junior ML Engineer

0-2

Step 2

Machine Learning Engineer

2-5

Step 3

Senior ML Engineer

5-8

Step 4

ML Lead / Head of AI

8+

Vital Statistics

Salary Range

R 45,000 - R 140,000

Soft Skills

lightbulb Problem-Solving analytics Analytical Thinking biotech Critical Thinking description Documentation fact_check Attention to Detail chat Communication edit Professional Writing groups Stakeholder Management analytics Data-Driven Thinking sync Adaptability groups Teamwork event_note Planning & Organisation schedule Time Management verified Ethics & Integrity laptop_mac Digital Literacy badge Professionalism favorite Emotional Intelligence theater_comedy Creativity trending_up Leadership

Technical Skills

api API Design (REST/GraphQL) sync CI/CD Pipelines security Cybersecurity Fundamentals analytics Data Analysis lock Data Privacy & Handling dns Docker merge Git / Version Control terminal Linux Administration (Basics) terminal Linux Basics description MS Office (Word/Excel/Outlook) monitor_heart Observability (Logs/Metrics/Tracing) Basics lock POPIA/GDPR Data Protection Basics api Postman / API Testing bar_chart Power BI article Report Writing storage SQL (Advanced) functions Statistics Fundamentals bug_report Test Automation