الصفحة الرئيسية المملكة العربية السعودية Artificial Intelligence Specialist - AUSTRALIA/NZ CAMPAIGN
الصفحة الرئيسية المملكة العربية السعودية Artificial Intelligence Specialist - AUSTRALIA/NZ CAMPAIGN
Artificial Intelligence Specialist - AUSTRALIA/NZ CAMPAIGN
تفاصيل الوظيفة
AUSTRALIA/NZ CAMPAIGN - MEGA WORKSHOP We will be running an extensive campaign for jobs in Saudi Arabia during the last week in April. Preference for these jobs, is for Australia and New Zealand natives, or people currently based in Australia and New Zealand. We are seeking an Artificial Intelligence Specialist to join our Global Manufacturing Excellence Digitalization and Technology Management (D&TM). D&TM are responsible for providing AI-powered solutions to various business functions within our Global Manufacturing Excellence admin area. The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain. The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within Saudi Aramco for Digital transformation, Artificial Intelligence technologies and data science. Your primary role will be to work closely with business functions, stakeholders, and functional teams to give consultations on AI/ML use case, identify potential value from data, formulate AI and data science ideas and conceptualize them. This role will play a pivotal role in helping our organization to make data-driven decisions and to solve complex problems. Duties & Responsibilities :
- Collaborate with cross-functional teams, including engineers and domain experts, to drive data-driven improvements.
- Gather and preprocess data from various industrial sources, such as sensors, DCS systems, and manufacturing equipment.
- Analyze data to identify opportunities for process optimization, energy efficiency improvements, and cost reduction.
- Implement anomaly detection algorithms to identify abnormal patterns in industrial processes and equipment.
- Develop predictive maintenance models to identify equipment failures and minimize downtime.
- Bring innovative ideas to apply image, video and audio analytics to reduce manual efforts like visual inspection/field monitoring of industrial plants.
- Create informative dashboards to communicate insights to operational teams and management.
- Deploy machine learning models into production systems for real-time monitoring and decision-making.
- Maintain documentation for data analysis processes, models, and findings.
- Ensure that data practices adhere to industry regulations and data privacy standards.
- Monitor and evaluate model performance and make necessary adjustments to maintain accuracy and reliability.
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