Cloud ML Engineer - MLOps, Real-Time Inference, Azure

Omega Human Capital; Johannesburg; Hybrid; ZAR 600,000 - 1,000,000; Full time

Job summary

Omega Recruitment – Career Opportunity: Machine Learning Engineer (Hybrid – Cape Town / Johannesburg) is seeking a skilled professional to design and operationalise production-grade ML systems, architect robust data and compute infrastructure, and enable high-performance deployments using Azure, Databricks, AKS, Spark, Airflow, and MLflow.

You will collaborate with data scientists to bridge model development and production, automate end-to-end ML pipelines, and build APIs for real-time inference

Qualifications

• 3–7 years’ experience in data science or cloud-based roles.
• Proven track record of delivering ML projects into production.
• Expert proficiency in Python/R and cloud-native ML tools.

Responsibilities

• Architect and deploy ML solutions in cloud environments (Azure).
• Implement MLOps practices for reproducibility, scalability, and governance.
• Automate end‑to‑end ML pipelines from ingestion to deployment.
• Build APIs, batch, and real‑time inference systems.
• Leverage GPU acceleration for deep learning tasks.
• Collaborate with data scientists to bridge model development and production.

Skills

Python

R

Education

STEM qualification (Computer Science, Engineering, Statistics, Econometrics, Actuarial Science)

Master’s/PhD advantageous

Tools

Azure

Databricks

AKS

Spark

Airflow

MLflow

Job description

Omega Recruitment – Career Opportunity: Machine Learning Engineer (Hybrid – Cape Town / Johannesburg) is seeking a skilled professional to design and operationalise production-grade ML systems, architect robust data and compute infrastructure, and enable high-performance deployments using Azure, Databricks, AKS, Spark, Airflow, and MLflow.

You will collaborate with data scientists to bridge model development and production, automate end-to-end ML pipelines, and build APIs for real-time inference