AI Talent
In today’s rapidly evolving tech landscape, securing top AI talent is critical for staying competitive. Whether you need contract or permanent AI professionals, integrating AI expertise into your operations is no longer optional—it's essential.
Daire can secure AI talent into your business today.
Current Market Insight: The average salary for AI consultants in Australia is approximately $121,000 annually, reflecting their in-demand expertise. However this will rapidly increase over the next one to three years.
Businesses need AI professionals for several key tasks:
Data Analysis: Extracting valuable insights from large datasets to inform business strategies
Automation: Streamlining repetitive tasks and processes to increase efficiency
Predictive Analytics: Forecasting trends and customer behaviours to drive better decision-making
Natural Language Processing (NLP): Enhancing customer service with chatbots or improving text-based systems.Natural Language Processing (NLP): Enhancing customer service with chatbots or improving text-based systems
Machine Learning: Building algorithms to improve product recommendations, fraud detection, or personalised marketing
AI System Integration: Incorporating AI tools into existing business processes and software.
Daire’s AI Talent fee structure is different to our standard terms and is as follows;
Permanent Position:
30% of first year’s annual salary package.
Retained fee of 50% plus GST initial payment.
Remainder on successful offer and acceptance.
Temporary Position:
30% margin of hourly / day rate.
Contract Position:
30% of contract package.
Retained fee of $10,000 plus GST initial payment.
Remainder on successful offer and acceptance.
Typical AI Positions:
Machine Learning Engineers, Data Scientists, AI Research Scientists, AI Software Engineers, Computer Vision Engineers, Natural Language Processing (NLP) Engineers, AI Product Managers, Robotics Engineers, AI Ethics Officers, Deep Learning Engineers, AI Consultants, Data Engineers, AI Trainers, AI Business Development Managers and AI DevOps Engineers.