Description:
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Senior Machine Learning Ops Engineer
Sydney
$230k Inc Super + Bonus
Role Overview:
Join a newly established team designing, building, and operating Machine Learning solutions & utilise data science and machine learning capabilities at scale using cutting-edge cloud technology. As a Machine Learning Engineer, you'll take end-to-end ownership of your product in a modern DevOps culture. You will be responsible for architecture, design, development, testing, and operations, delivering incrementally in iterative cycles.
Key Requirements:
- 5+ years of experience as a software engineer in an agile DevOps environment using an object-oriented development language (Java, Python)
- Experience across the full SDLC including design, build, test, and supporting mission-critical production platforms
- Ability to implement MLOps best practices including CI/CD pipelines
- Demonstrated proficiency using cloud technologies and integrating with ML services such as GCP Vertex AI, DataRobot, or AWS SageMaker in large and complex organizations
- Experience with SQL and Python environments
- Data engineering experience will be highly regarded
- Familiarity with cloud technologies and architectural practices to enhance tooling across the ML model development lifecycle
If you feel you possess the relevant skills to the above, apply now with most updated CV!
16 Mar 2025;
from:
uworkin.com