Senior MLOps & GenAI Engineer

The Focus Group; Sandton; Sur place; ZAR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

The Focus Group in Sandton is seeking an experienced AI/ML Engineer to design, prototype, and build next-generation analytic engines and services. You will operationalise models, develop AI applications and agents, and create platforms to deliver business value at scale.

Responsibilities include productionising pipelines on Databricks, deploying AI Agents and GenAI solutions, plus building secure APIs and containerised deployments on AKS. Collaboration with cross-functional teams is essential.

Qualifications

• Strong understanding of MLOps, DevOps and software engineering practices for machine learning platforms.
• Experience building, deploying and supporting machine learning solutions in production environments.
• Proficiency in Python and experience with SQL and API development.
• Experience with Databricks, MLflow, Model Serving and cloud-native AI/ML platforms.
• Hands-on experience with Kubernetes, Docker and containerised application deployment.
• Experience deploying and supporting machine learning and Generative AI solutions on Azure Kubernetes Service (AKS).
• Knowledge of CI/CD pipelines, infrastructure automation and platform monitoring.
• Experience with distributed computing technologies such as Spark and large-scale data processing frameworks.
• Understanding of machine learning, large language models (LLMs), retrieval-augmented generation (RAG) and AI agents.
• Ability to productionise data science solutions and collaborate effectively with Data Scientists.
• Experience delivering end-to-end AI and machine learning use cases from development to production.
• Ability to translate technical concepts into business outcomes and communicate effectively with stakeholders.
• Strong written and verbal communication skills with the ability to work across cross-functional teams.
• Self-driven, adaptable and capable of thriving in a fast-paced, technology-driven environment.

Responsabilités

• Productionise, deploy and monitor machine learning models and data science pipelines on Databricks.
• Build, deploy and support AI Agents, GenAI applications and RAG solutions on Databricks.
• Develop and maintain reusable ML pipelines using MLOps principles, including CI/CD, automated testing, monitoring and governance.
• Deploy, optimise and manage open source AI and machine learning models on Azure Kubernetes Service (AKS).
• Design, develop and support custom APIs and microservices on AKS to expose AI and machine learning capabilities to business applications.
• Implement containerised solutions using Docker and Kubernetes to ensure scalable, secure and resilient deployments.
• Monitor model performance, drift, reliability and operational health in production environments.
• Partner with Data Scientists to productionise prototypes and enable business-ready solutions.
• Collaborate with platform, security, cloud and infrastructure teams to ensure compliance with enterprise standards.
• Troubleshoot and resolve production issues related to models, pipelines, APIs and AI applications.
• Optimise AI and ML solutions for performance, scalability, cost and reliability.
• Contribute to engineering standards, reusable frameworks and best practices across the AI and ML ecosystem.
• Mentor junior engineers and promote knowledge sharing across the team.
• Stay current with advancements in AI, GenAI, MLOps, Databricks, Kubernetes and cloud technologies.

Connaissances

Databricks Workflows

Model Serving

MLflow

Mosaic AI

AKS

Python

SQL

REST APIs

Docker

Kubernetes

CI/CD

MLOps

Generative AI

LLM deployment

Cloud engineering

Monitoring

Observability

Troubleshooting

Formation

Computer Science

Engineering

Econometrics

Mathematical Statistics

Actuary Science

Masters or Doctorate

Outils

Azure Kubernetes Service (AKS)

Databricks

Docker

Kubernetes

MLflow

Description du poste

The Focus Group in Sandton is seeking an experienced AI/ML Engineer to design, prototype, and build next-generation analytic engines and services. You will operationalise models, develop AI applications and agents, and create platforms to deliver business value at scale.

Responsibilities include productionising pipelines on Databricks, deploying AI Agents and GenAI solutions, plus building secure APIs and containerised deployments on AKS. Collaboration with cross-functional teams is essential.