Engineer, Machine Learning Systems (AI Products)
AU: Sydney (45 Clarence St)
AUD 180K-200K (estimate) Senior-level Full Time
Tasks
- Build scalable production infrastructure for generative AI features
- Collaborate with applied scientists to productionize models
- Deploy services on AWS Kubernetes
- Design distributed system architecture
- Establish engineering standards
- Implement production distributed services
- Integrate machine learning models into production systems
- Manage operational on call responsibilities
- Mentor junior engineers
- Own production services and pipelines
- Reduce technical debt
- Respond to production incidents
Perks/Benefits
- Access to modern office spaces
- Collaborative boost days
- Hybrid work model
- Mentoring and coaching culture
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Dask | Data orchestration | Distributed Systems | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Prefect | PyTorch | Python | SQL | TensorFlow
Education
N/A
Regions
Countries
States
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