Senior ML Engineer — Real-Time Production Systems

Lula; Cape Town; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Lula is seeking a data/ML infrastructure engineer to build, deploy, and scale ML systems at the intersection of data science and engineering. You will enhance ML infrastructure, design real-time data systems, and ensure models run reliably in production.

Responsibilities include collaborating with data scientists, implementing NFRs, and delivering scalable pipelines with Kubernetes, Cloud tech, and CI/CD automation. Fintech focus withCape Town-based opportunities.

Qualifications

• Productionising ML systems experience is required.
• Experience training machine learning models is highly desirable.
• Proficient in Python and familiar with SQL.
• Hands-on with real-time/event-driven systems (Kafka, Kafka Connect, Pub/Sub).
• Solid knowledge of Kubernetes and Docker; experience with canary/blue-green deployments.
• CI/CD tooling experience (CircleCI, Drone, GitHub Actions, ArgoCD).
• Experience with Spark, Dataflow or Flink; ML/DVC/MLFlow tooling helps.
• Cloud familiarity (GCP, AWS, or Azure) and interest in FinTech.

Responsibilities

• Consult with data scientists on training ML models.
• Enhance ML infrastructure, including data engineering and DevOps tasks.
• Design systems to meet throughput and latency requirements.
• Implement non-functional requirements for high reliability.

Skills

Python

SQL

Tools

Terraform

Kafka

Kafka Connect

Pub/Sub

Kubernetes

Docker

CI/CD (CircleCI)

Drone

Github Actions

ArgoCD

Spark

Dataflow

Flink

Kubeflow

DVC

MLFlow

GCP

AWS

Azure

Job description

Lula is seeking a data/ML infrastructure engineer to build, deploy, and scale ML systems at the intersection of data science and engineering. You will enhance ML infrastructure, design real-time data systems, and ensure models run reliably in production.

Responsibilities include collaborating with data scientists, implementing NFRs, and delivering scalable pipelines with Kubernetes, Cloud tech, and CI/CD automation. Fintech focus withCape Town-based opportunities.