.Aramco energizes the world economy.Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.OverviewWe are seeking an Artificial Intelligence Specialist to join Global Manufacturing Excellence (GME) Digitalization and Technology Division(D&TD). GME is the recognized Center of Excellence for driving value across Saudi Aramco's Downstream Global manufacturing portfolio. D&TD are responsible for providing AI-powered solutions to various functions within the GME Admin Area. Your primary role will be to work closely with business functions, stakeholders, functional teams to give consultation on AI use case, identify potential value, formulate models and conceptualize them. Also, you will introduce, design, develop and sustain solutions leveraging the latest Artificial Intelligence (AI) and technological advancements to create and bring in business values across the business chain. This role will play a pivotal aspect in helping our organization to make data-driven decisions and to solve complex problems.Key ResponsibilitiesAs the successful candidate you will be required to perform the following: Collaborate with cross-functional teams, including engineers and domain experts, to drive data-driven improvements through AI solutions that are either built in house or precured.Communicate findings and insights regarding the AI solution or data being gathered to stakeholders. Gather and pre-process data from various industrial sources, such as sensors, Distributed Control Systems (DCS) systems, and manufacturing equipment's while ensuring their quality and integrity. Analyze and clean data to identify opportunities for process optimization, energy efficiency improvements, cost reduction, or cost optimization. Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models