NCS Australia

Information Technology And Services

AIEngineer

Sydney, New South Wales, Australia; Melbourne, Victoria, Australia; Brisbane, Queensland, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Engineer at NCS Australia. Skills: AI/ML solutions, AWS, Azure, Python, ML frameworks, ML models, data pipelines, ML workflows. design and deliver end-to-end AI/ML solutions using AWS and/or Azure. build and deploy machine learning models”

What You'll Achieve.

shape better outcomes; make a meaningful impact

Industry & Context.

Information Technology And Services
Problems you'll solve

solve real business problems

Eligibility Requirements

valid work rights for Australia, willing to undergo a comprehensive background checking process, including probity and police checks

What They're Looking For.

Must Have

experience in AI/ML Engineering, Data Engineering, or related fields, Hands-on experience with AWS and/or Azure AI ecosystem, programming skills in Python, 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, valid work rights for Australia, willingness to undergo a comprehensive background checking process, including probity and police checks

Nice to Have

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

What You'll Do.

design and deliver end-to-end AI/ML solutions using AWS and/or Azure

build and deploy machine learning models

develop data pipelines

translate business requirements into scalable AI solutions

contribute to end-to-end delivery from experimentation to production

ensure best practices in coding

solution design (for senior candidates)

stakeholder engagement (for senior candidates)

mentoring junior engineers (for senior candidates)

How You'll Work.

Team & Collaboration

working closely with cross-functional teams; collaborating with cross-functional teams

Full Job Description

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow. 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. ## Qualifications * 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 Nice to Have * Exposure to Generative AI / LLMs (OpenAI, Bedrock, etc.) * Experien

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