NCS Group Australia4 followers127 jobs

AI Engineer

Mid levelSeniorFull-timeOfficeSydney NSW, AustraliaPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

The job is about hiring AI Engineers to design and deliver end-to-end AI/ML solutions using AWS and/or Azure. This opportunity is crucial as it involves building and deploying machine learning models and developing data pipelines to solve real business problems. The team thrives on innovation, collaboration, and a commitment to creating a better tomorrow together.

Meet the team

About the company

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You'll be responsible for

🛠️

Designing AI/ML solutions

Design, develop, and deploy AI/ML solutions using AWS and/or Azure services, including building and optimising machine learning models for real-world applications.
🔗

Developing data pipelines

Developing and maintaining data pipelines and ML workflows, collaborating with cross-functional teams to translate business requirements into scalable AI solutions.
📈

Ensuring best practices

Ensure best practices in coding, testing, and MLOps, and for senior candidates, take on additional responsibilities such as solution design, stakeholder engagement, and mentoring junior engineers.

Key criteria

🤖

AI/ML engineering experience

Strong experience in AI/ML Engineering or related fields.

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☁️

AWS and/or Azure expertise

Hands-on experience with AWS and/or Azure AI ecosystem.

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🐍

Python programming skills

Strong programming skills in Python and ML frameworks.

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A meaningful career starts with a match

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Think you're a good fit?See what the hiring team are looking for

View your fit

5 criteria for this job
AI/ML engineering experience
Strong experience in AI/ML Engineering or related fields.

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AWS and/or Azure expertise
Hands-on experience with AWS and/or Azure AI ecosystem.

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Python programming skills
Strong programming skills in Python and ML frameworks.

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Production ML model deployment
Experience building and deploying ML models in production.

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Understanding of ML lifecycle
Good understanding of cloud architecture and ML lifecycle.

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