Global Petroleum Refinery Senior Data ArtificialIntelligence Specialist - Dhahran Al Janub, المملكة العربية السعودية - MatchaTalent

    MatchaTalent
    MatchaTalent Dhahran Al Janub, المملكة العربية السعودية

    منذ أسبوعين

    MatchaTalent background
    وصف

    This role required candidate to permanentlyrelocate at Dhahran Saudi Arabia.

    About the Company

    This company engages in the exploration productiontransportation and sale of crude oil and natural gas. It operatesthrough the following segments: Upstream Downstream and Corporate.The Upstream segment includes crude oil natural gas and natural gasliquids exploration field development and production. TheDownstream segment focuses on refining logistics power generationand the marketing of crude oil petroleum and petrochemical productsand related services to international and domestic customers. TheCorporate segment offers supporting services including humanresources finance and information technology. The company wasfounded on May and is headquartered in Dhahran SaudiArabia.

    Job Summary

    We are seeking an Artificial Intelligence Specialist tojoin our Global Manufacturing Excellence Digitalization andTechnology Management (D&TM).

    D&TM areresponsible for providing AIpowered solutions to various businessfunctions within our Global Manufacturing Excellence admin area.The solutions leverage the latest technological advancements ofArtificial Intelligence (AI) and analytics to create businessvalues across the value chain. The Global Manufacturing Excellenceorganization will be the center of excellence in GlobalManufacturing under Downstream business line within This Companyfor Digital transformation Artificial Intelligence technologies anddata science.

    Your primary role will be to workclosely with business functions stakeholders functional teams togive consultations on AI/ML use case identify potential value fromdata formulate AI and data science ideas and conceptualize them.This role will play a pivotal role in helping our organization tomake datadriven decisions and to solve complex problems.

    Responsibilities:

    • Collaborate with crossfunctional teams todrive datadriven improvements.
    • Gather andpreprocess data from various industrial sources.
    • Analyze data to identify opportunities for processoptimization energy efficiency improvements and costreduction.
    • Implement anomaly detectionalgorithms to identify abnormal patterns in industrial processesand equipment.
    • Develop predictive maintenancemodels to minimize downtime.
    • Apply image videoand audio analytics to reduce manual efforts like visualinspection/field monitoring of industrial plants.
    • Create informative dashboards to communicate insights tooperational teams and management.
    • Deploymachine learning models into production systems for realtimemonitoring and decisionmaking.
    • Maintaindocumentation for data analysis processes models andfindings.
    • Ensure data practices adhere toindustry regulations and data privacy standards.
    • Monitor and evaluate model performance making necessaryadjustments to maintain accuracy and reliability.

    Requirements:

    • This role required candidate topermanently relocate at Dhahran SaudiArabia.
    • Hold aBachelors/Masters degree in Engineering or Data Science from apremier institute.
    • Have at least 5 years ofexperience building data analyticsbased products in industrialcontexts preferably in petroleum refineries.
    • Ability to identify business problems addressable throughdata analysis and develop datadriven solutions includingengineering/operational issues and computer visionbasedproducts.
    • Possess exceptional analytical andproblemsolving skills with the ability to derive insights andopportunities from data.
    • Understanding of theOil & Gas downstream domain to apply data scienceeffectively.
    • Experience in developingAI/MLbased Digital twins of industrialprocesses/equipment.
    • Experience in applyingoptimization algorithms in line with AI/ML models.
    • Expertise in Python for data manipulation analysis andmodeling including popular libraries such as NumPy PandasMatplotlib Seaborn ScikitLearn etc.
    • Proficiency in deep learning tools such as KerasTensorFlow PyTorch Caffe etc.
    • Proficiency indeveloping evaluating and selecting the best ML model based on theproblem under consideration with an engineering sense.
    • Ability to bring ideas from conceptualization toproductionizing.
    • Proficiency in visualizationtools and packages and in communicating data science topics tonontechnical audiences.
    • Basic projectmanagement skills to plan execute and deliver data science projectson time and within scope are preferred.

    Data,ArtificialIntelligence,Oil,Gas,Refinery,Petroleum