(Largest Energy Chemical) Generative AI Expert

Job title:

(Largest Energy Chemical) Generative AI Expert

Company

MatchaTalent

Job description

This role required candidate to permanently relocate at Dhahran, Saudi Arabia.About the CompanyThis company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.Job SummaryThis Company seeking a brilliant and results-driven Generative AI Expert to join the Technology & Digital Coordination team within its HR & Corporate Services (HR&CS) business, and shape the future of technology in Corporate Services sector. This critical role will be responsible for driving cutting-edge generative AI initiatives, tackling complex problems, and providing advice to decision makers in an advisor capacity.HR&CS’ business is a diverse and manpower-intensive organization with 15,000+ employees. Our suborganizations vary in nature, and include: Human Resources, Training & Development, Safety & Security, Government Affairs, Public Affairs, Community Services, Transportation (Marine, Aviation, etc.), and Medical Services Support.As our AI Expert, you’ll play a pivotal role in working with cross-functional teams to develop, implement and drive the HR&CS AI strategy.Key Responsibilities:

• Define and implement the HR&CS AI roadmap, identifying opportunities for AI integration across the business line.
• Collaborate across organizations on the ideation, scoping, and implementation of the best-suited generative AI solutions to address their needs.
• Advise and support stakeholders, applying generative AI methodologies within their business to improve performance and enable data-driven decision-making.
• Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
• Fine-tune generative AI models using the most efficient algorithms, focusing on delivering optimal outcomes.
• Establish and lead teams to develop and support generative AI initiatives, and upskill them as needed.
• Collaborate effectively with engineers, data scientists, product managers, and other stakeholders.
• Clearly articulate complex technical concepts to both technical and non-technical audiences.
• Stay abreast of the latest advancements in AI through continuous learning and staying current with industry trends.

Requirements:

• Willingness to permanently relocate to Dhahran, Saudi Arabia.
• Master’s degree in Computer Science, Data Science, Machine Learning, or a related field with a strong focus on Artificial Intelligence.
• 10+ years of work experience in the Digital Technology field, with at least 5+ years of experience in developing and deploying AI models.
• Preferably possessing Generative AI Professional Certification, Deep Gen AI Certification, or equivalent.
• Demonstrated experience in designing and implementing Generative AI models.
• Proficiency in programming AI-related languages such as Python and other AI frameworks.
• Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models.
• Experience in handling data, including data analysis, manipulation, processing, and augmentation.
• Excellent communication and collaboration skills with the ability to translate technical concepts into a non-technical, presentable format.
• Passion for innovation and a strong desire to make a real-world impact with AI technologies.

Expected salary

Location

London

Job date

Mon, 01 Jul 2024 04:22:20 GMT

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