Senior DevOps Engineer - AWS, AI, MLOps & Data Science - Fed Govt!
- Lead engineering across AI, Machine Learning, and Data Science solutions.
- Develop production pathways for AI and Data Science prototypes.
- Design reusable AWS, RAG, data pipeline, model deployment and monitoring patterns.
- Lead engineering across AI, Machine Learning & Data Science solutions
- AWS, MLOps, DevOps, RAG & reusable AI system patterns
- Long-term Federal Government contract with hybrid working
An exciting opportunity is available for an experienced Senior DevOps Engineer to provide technical and engineering leadership across complex AI, Machine Learning and Data Science solutions. You will help move innovative solutions from proof of concept through to production-ready, scalable and reusable implementations. The successful Senior DevOps Engineer will be offered an initial 12-month contract with the view to be extended, with opportunities in VIC and NSW and hybrid working arrangements.
The successful Senior DevOps Engineer will be responsible for, but not limited to:
- Lead engineering approaches across AI, Machine Learning, DevOps and Data Engineering.
- Develop production pathways for AI and Data Science prototypes and proofs of concept.
- Design reusable AWS, RAG, data pipeline, model deployment and monitoring patterns.
- Lead technical specialists and uplift engineering practices, standards and capability.
The successful Senior DevOps Engineer will have experience in the following:
- AWS and delivering cloud-based AI, Machine Learning or Data Science solutions.
- Technical leadership across DevOps, ML Engineering, AI Engineering or Data Engineering.
- MLOps, LLMOps, CI/CD, deployment automation, monitoring and observability.
- Productionising AI solutions, including data pipelines, model deployment and reusable patterns.
Candidates must have the ability to obtain the required security clearance.
This is a fantastic opportunity for a senior engineering professional to shape how AI and Data Science solutions move from experimentation into secure, scalable and sustainable production environments. If you have the required skills and experience, APPLY NOW. Please forward your application to ******************* quoting reference number JB0796.
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