AI Engineer - Production AI, MLOps & ETL Pipelines (Hybrid)

Dow Jones; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Onsite gym (Sydney)

Parental leave

Volunteer leave

Leadership development programs

Job summary

News Corp Australia is seeking an AI Engineer to join our NSW team, partnering with a Senior Data Scientist to design, build, and deploy AI applications, RAG pipelines, and data integrations for enterprise finance tools. You will help modernise our tech stack and uphold robust MLOps practices.

You should have 3+ years in software, AI, or data engineering with strong Python and SQL, experience with Docker, CI/CD, and cloud platforms, and a Bachelor's degree in a related field.

Qualifications

• Bachelor’s degree in CS, SE, or a related field.
• 3+ years building production AI/data applications.
• Experience with MLOps, Docker, and CI/CD.

Responsibilities

• Production Solution Development: Build, optimize, and deploy modular AI applications, RAG pipelines, and microservices.
• System Continuity & Keyperson Backup: Co-own codebases, repository standards, and infrastructure.
• MLOps, CI/CD & Infrastructure: Maintain Dockerized deployments, automated CI/CD pipelines, API gateways, and vector store instances.
• Production Support & Observability: Real-time monitoring, error logging, rate-limiting, and cost tracking.
• Data Integration: Engineer ETL/ELT pipelines to ingest ERP/ledger data and unstructured documents into AI contexts.

Skills

Python

SQL

FastAPI

Pydantic

MLOps

Docker

CI/CD

API integrations

Cloud

dbt

Education

Bachelor’s degree in CS/SE/related

Tools

dbt

Docker

Job description

News Corp Australia is seeking an AI Engineer to join our NSW team, partnering with a Senior Data Scientist to design, build, and deploy AI applications, RAG pipelines, and data integrations for enterprise finance tools. You will help modernise our tech stack and uphold robust MLOps practices.

You should have 3+ years in software, AI, or data engineering with strong Python and SQL, experience with Docker, CI/CD, and cloud platforms, and a Bachelor's degree in a related field.