SENIOR ML ENGINEER / AI - GenAI - Databricks - Azure

Johannesburg, South Africa | Posted on 14/09/2026

Ready to take AI and Machine Learning from prototype to production? Join a forward-thinking technology team where you’ll build, deploy and scale ML, AI and GenAI solutions that deliver real business value.

WHAT YOU’LL DO

• Productionise and deploy ML models & data science pipelines on Databricks
• Build and support AI Agents, GenAI & RAG solutions
• Develop robust MLOps / CI/CD pipelines with automated testing, monitoring and governance
• Deploy and optimise Open Source LLMs & AI models on Azure Kubernetes Service (AKS)
• Build scalable APIs & microservices to expose AI capabilities
• Develop containerised solutions using Docker & Kubernetes
• Monitor model performance, drift, reliability and production health
• Partner with Data Scientists to turn prototypes into business-ready solutions
• Troubleshoot, optimise and scale AI/ML platforms for performance, cost and reliability
• Mentor junior engineers and contribute to AI/ML engineering best practices
  

MUST-HAVE TECHNICAL SKILLS

• Databricks
• MLflow
• Mosaic AI
• Model Serving
• AKS
• Python
• SQL
• REST APIs
• Docker
• CI/CD
• MLOps
• GenAI
• LLMs
• RAG
• Spark

QUALIFICATIONS

Degree in Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuarial Science or a related field.

ADVANTAGEOUS CERTIFICATIONS

• AWS or Google Cloud certifications

A hands-on Senior ML Engineer who understands how to take AI from development → deployment → production, with strong experience across Databricks, Azure, Kubernetes, MLOps and GenAI.

If you're passionate about building production-grade AI solutions at scale, this could be your next opportunity!

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