Senior DevOps Engineer - AWS, AI, MLOps & Data Science - Fed Govt!

Hitech Asia Pacific; Victoria; Híbrido; AUD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Hitech Asia Pacific is seeking a Senior DevOps Engineer to lead AI, ML, and Data Science production work for a Federal Government program. You will design scalable deployment patterns in AWS, guide DevOps practices, and collaborate across data engineering and ML teams.

Hybrid working with VIC and NSW, initial 12-month contract with view to extension. The role emphasizes automation, MLOps, LLMOps, CI/CD, monitoring, and secure production pipelines.

Formación

• Lead AI/ML production engineering and data science initiatives.
• Proven ability to deploy scalable, reusable data/ML pipelines.

Responsabilidades

• Lead engineering across AI, ML, DevOps and Data Engineering.
• Develop production pathways for AI/DS prototypes to production.
• Design reusable AWS, data pipeline, model deployment and monitoring patterns.
• Mentor engineers and uplift engineering practices and standards.

Conocimientos

AWS

DevOps

ML Engineering

AI Engineering

Data Engineering

MLOps

CI/CD

Observability

Data Pipelines

Descripción del empleo

Senior DevOps Engineer - AWS, AI, MLOps & Data Science - Fed Govt!

• Lead engineering across AI, Machine Learning & Data Science solutions
• 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.