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Lead Ai Engineer

Private Company - Perth, WA

Source: uWorkin


Our Digital Team is currently recruiting a Lead AI Engineer. 

The role will be responsible for leading and directing the creation and review of a cross-function, enterprise approach for the use and development of leading-edge AI capabilities.

Duties & Responsibilites

• Lead and direct the creation and review of cross-function, enterprise-wide approach for cognitive.
• Lead the organisations commitment to efficient and effective AI practices, developing a data driven problem solving culture within Woodside; Building a strong AI culture and technical capability within Woodside.
• Establish and manage cognitive methods, techniques and capabilities to enable the organisation to analyse data, to generate insights, create value and drive decision making.
• Partner with the business to identify opportunities to apply AI tools and machine learning models to deliver value across the oil and gas value chain
• Collaborate with domain experts to review similar problems, new technology and technical material to understand and define problem
• Lead and coach AI engineers through knowledge in the area of specialization.
• Develop problems in AI terms, appreciating and investigating assumptions
• underlying analysis, and assessing requirements and technical feasibility of project
• Collaborate with SMEs on analysis and modelling processes to solve challenging and high impact problems in oil and gas exploration and production domains
• Determine and communicate the limitations of technology, methods and their effects on the conclusions
• Communicate findings of technical analysis through reports, presentations and translate results back into business language
• Communicate arguments/issues to others clearly and accurately, in appropriate written and verbal form, to address specific questions and deliver value

Skills & Experience

• Competencies for AI Engineering include, software development, mathematics and applied application of AI solutions including model building using ML and DL/Neural networks, but more broadly linking data, models and decisions together.
• Strong interpersonal and influencing skills
• Professional, organised approach clearly demonstrated in use of planning and documentation
• Ability to collaborate with subject matter experts across the Energy value chain
• Ability to rapidly learn and evaluate technical information to synthesise meaningful conclusions and recommendations
• Project Management and Agile skills.
• User centric design skills – being able to design solution that delivers business need with usability.
• 10+ years extensive practical work experience in AI Engineering

To apply please visit the following URL


Applications close 14/4/2021 at 23:59 AWST