NCS Australia
Information Technology And Services
AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI Engineer at NCS Australia. Skills: AI/ML solutions, AWS, Azure, Python. Design AI/ML solutions. Develop AI/ML solutions”
What You'll Achieve.
shape better outcomes
Industry & Context.
solve real business problems
valid work rights for Australia, undergo background checking process, probity checks, police checks
What They're Looking For.
Must Have
AI/ML Engineering, Data Engineering, AWS AI ecosystem, Azure AI ecosystem, Python, ML frameworks, TensorFlow, PyTorch, Scikit-learn, ML models, ML pipelines, production environments, cloud architecture, data engineering, ML lifecycle
Nice to Have
Generative AI, LLMs, OpenAI, Bedrock, MLOps, CI/CD pipelines, model deployment practices, consulting, client-facing delivery
What You'll Do.
Design AI/ML solutions
Develop AI/ML solutions
Deploy AI/ML solutions
Build machine learning models
Optimize machine learning models
Develop data pipelines
Maintain data pipelines
Maintain ML workflows
Translate business requirements
Contribute to end-to-end delivery
Ensure best practices
Mentor junior engineers
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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