Production ML Engineer: Build Scalable Pipelines & MLOps

Acuity Consultants; Wes-Kaap; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Acuity Consultants is seeking an Intermediate or Senior Machine Learning Engineer who wants to push models from experimentation into production. You will work at the intersection of ML, software engineering, data engineering and DevOps, deploying models in cloud environments and tackling real-time data challenges.

If you have strong Python foundations, experience shipping ML systems, and an interest in production ML and infrastructure, this is your chance to contribute to scalable, observable ML

Qualifications

• Hands-on experience taking ML models into production.
• Solid software engineering practices and code quality.
• Experience with at least one major cloud platform - AWS, GCP or Azure.
• Interest in solving production ML and infrastructure problems.

Responsibilities

• Take ML models from experimentation into production.
• Build and improve ML pipelines and infrastructure.
• Deploy and serve models in cloud environments.
• Improve monitoring, observability and model reliability.
• Build scalable, containerised ML services.
• Automate deployment through CI/CD and MLOps.
• Work with large datasets and distributed processing.
• Make engineering decisions around performance, latency and scalability.

Tools

Docker

Kubernetes

Terraform

Kafka

Pub/Sub

Spark

PySpark

Dataflow

Flink

MLflow

Kubeflow

CI/CD

model serving

monitoring and observability

Job description

Acuity Consultants is seeking an Intermediate or Senior Machine Learning Engineer who wants to push models from experimentation into production. You will work at the intersection of ML, software engineering, data engineering and DevOps, deploying models in cloud environments and tackling real-time data challenges.

If you have strong Python foundations, experience shipping ML systems, and an interest in production ML and infrastructure, this is your chance to contribute to scalable, observable ML