End-to-End Production ML Ops Engineer

seek.com.au; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

seek.com.au is seeking a practical ML Ops Engineer to own data, infrastructure and pipelines that support our machine learning systems, with a focus on production ML lifecycle for computer vision.

You will own end-to-end processes from data ingestion to deployment, monitoring, retraining and reliability, collaborating with ML engineers, data engineers and software engineers to ship with confidence.

Qualifications

• 3–5 years of experience building and operating ML or data systems in production environments.
• Evidence of systems used by real operators or customers, not just academic work.
• Experience with production ML lifecycles and data pipelines is desirable.

Responsibilities

• Design and operate scalable data ingestion, transformation and processing pipelines.
• Build robust dataset creation, validation, labelling and versioning workflows.
• Create reproducible training, evaluation and experimentation pipelines.

Skills

Python

SQL

ML Ops

Data pipelines

Observability

Docker

Kubernetes

Tools

Docker

Kubernetes

Airflow

CI/CD

Job description

seek.com.au is seeking a practical ML Ops Engineer to own data, infrastructure and pipelines that support our machine learning systems, with a focus on production ML lifecycle for computer vision.

You will own end-to-end processes from data ingestion to deployment, monitoring, retraining and reliability, collaborating with ML engineers, data engineers and software engineers to ship with confidence.