AI Engineer

Requirements

• Exposure to Generative AI / LLMs (OpenAI, Bedrock, etc.)
• Experience with MLOps, CI/CD pipelines, and model deployment practices
• Background in consulting or client-facing delivery environments
• Why join us:
• At NCS Australia, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply.
• Agencies:
• Work rights and background checks:
• To be eligible for a position with us, applicants will need to have valid work rights for Australia and be willing to undergo a comprehensive background checking process, including probity and police checks
• We've got this.

Benefits

Additional Information

We're hiring AI Engineers to design and deliver end-to-end AI/ML solutions using AWS and/or Azure. The role involves building and deploying machine learning models, developing data pipelines, and working closely with cross-functional teams to solve real business problems. Design, develop, and deploy AI/ML solutions using AWS and/or Azure services, including building and optimising machine learning models for real-world applications. The role involves developing and maintaining data pipelines and ML workflows, collaborating with cross-functional teams to translate business requirements into scalable AI solutions, and contributing to end-to-end delivery from experimentation to production. You will also 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. Strong experience in AI/ML Engineering, Data Engineering, or related fields Hands-on experience with AWS and/or Azure AI ecosystem Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience building and deploying ML models and pipelines in production environments Good understanding of cloud architecture, data engineering, and ML lifecycle

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