SENIOR ML ENGINEER / AI - GenAI - Databricks - Azure at Sabenza IT & Recruitment

DCV Sabenza IT and Recruitment · Johannesburg, Gauteng · R Undisclosed

Stop applying one at a time.

JobAlertsZA auto-applies to South African jobs like this one for you, overnight. Upload your CV once — we do the applying.

Start free — we apply for you →

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

RequirementsMUST-HAVE TECHNICAL SKILLS

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

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

ADVANTAGEOUS CERTIFICATIONS

  • Microsoft Azure – AZ-104 / AZ-305 / AI-102
  • Databricks – Data Engineer / ML Engineer / GenAI Engineer
  • Kubernetes – CKA / CKAD
  • DevOps / MLOps / Platform Engineering
  • 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!

Desired Skills

  • Databricks
  • MLflow
  • Mosaic AI
  • Model Serving
  • Python
  • SQL

Desired Qualification Level

  • Degree

About The Employer

Auto-apply to this jobView original posting ↗