AI Engineer

Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions using AWS and/or Azure services
• Build and optimize machine learning models for real-world applications
• Develop and maintain data pipelines and ML workflows
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Ensure best practices in coding, testing, and MLOps throughout the ML lifecycle
• Contribute to end-to-end delivery from initial experimentation to production

Requirements

• Strong experience in AI/ML Engineering, Data Engineering, or related fields
• Hands-on experience with the AWS and/or Azure AI ecosystem
• Proficient programming skills in Python
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience building and deploying ML models and pipelines in production environments
• Solid understanding of cloud architecture and data engineering principles

Preferred Qualifications

• Exposure to Generative AI and Large Language Models (e.g., OpenAI, Bedrock)
• Experience with MLOps, CI/CD pipelines, and model deployment practices
• Background in consulting or client-facing delivery environments

Benefits

• Paid parental leave and well-being initiatives
• Discounted health insurance and various product/service discounts
• Regular recognition and rewards for high performance
• Career development through industry training, partner programs, and an AI-driven learning platform

About the Company

NCS Australia is a technology services provider committed to quality, innovation, and purposeful work. We partner with clients and communities to solve complex challenges and shape better outcomes through creative and resilient technology solutions.