Hybrid ML Engineer: AI Models, MLOps & Azure

Novah-LOY Consulting; Johannesburg; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Medical aid contribution

Annual bonuses

Performance-driven incentives

Job summary

Novah-LOY Consulting seeks a Machine Learning Engineer to lead development and deployment of AI models in a hybrid work environment. You will build scalable ML platforms on Azure using AKS, Databricks, Spark, Airflow, and MLflow to deliver production-grade solutions.

A STEM degree with 3–7 years in data science or cloud roles is required, along with strong Python and ML tooling knowledge. You will implement MLOps and design inference systems supporting APIs, batch, and real-time processing.

Qualifications

• STEM degree with 3–7 years in data science or cloud roles.
• Proven track record delivering production-ready AI projects.
• Strong knowledge of Microsoft Azure, Flo, MLflow, and Python.

Responsibilities

• Lead the development and deployment of advanced AI models.
• Design and implement scalable ML platforms on Azure (AKS, Databricks, Spark, Airflow, MLflow).
• Apply MLOps to automate deployment, monitoring, and model lifecycle management.

Skills

Azure cloud

AKS

Databricks

Spark

Airflow

MLflow

Python

R

MLOps

APIs

Real-time streaming

Education

STEM degree

Tools

Databricks

ML tooling

Job description

Novah-LOY Consulting seeks a Machine Learning Engineer to lead development and deployment of AI models in a hybrid work environment. You will build scalable ML platforms on Azure using AKS, Databricks, Spark, Airflow, and MLflow to deliver production-grade solutions.

A STEM degree with 3–7 years in data science or cloud roles is required, along with strong Python and ML tooling knowledge. You will implement MLOps and design inference systems supporting APIs, batch, and real-time processing.