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 business applications
• Develop and maintain robust 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 deployment

Requirements

• Strong experience in AI/ML Engineering, Data Engineering, or a related field
• Hands-on experience with the AWS and/or Azure AI ecosystems
• Proficient programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proven track record of building and deploying ML models and pipelines in production environments
• Solid understanding of cloud architecture, data engineering, and the machine learning lifecycle

Preferred Qualifications

• Exposure to Generative AI and Large Language Models (e.g., OpenAI, Bedrock)
• Experience with MLOps, CI/CD pipelines, and automated 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
• Continuous career development through industry training and an AI-driven learning platform
• Recognition and rewards for high performance

About the Company

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