At a Glance
- Tasks: Bridge the gap between Reservoir Engineers and Data Scientists on innovative AI projects.
- Company: Join a leading consultancy in the UAE with exciting projects in Oil & Gas.
- Benefits: Competitive pay, remote work options, and potential for long-term engagement.
- Why this job: Be at the forefront of AI in the Oil & Gas industry and make a real impact.
- Qualifications: Expertise in Petroleum/Reservoir Engineering and familiarity with LLM models required.
- Other info: Dynamic role with opportunities for travel and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Arcus Search have partnered with a large consultancy in the UAE, who are looking for a Consultant – Reservoir Engineering & AI, to join a brand-new project with a large Oil & Gas company, to build out a number of LLM use cases for their Upstream Operations.
Location & Duration
Location: UAE Based, or remote with frequent travel
Length: 3-6 months to start, with a likelihood to be extended to a year +
Start date
Start date: Urgent start date – within a month
What we are looking for
We are looking for a SME in the Petroleum / Reservoir Engineering space and an understanding of the Data, LLM, and ML models used in this area.
The role
This individual will bridge the gap between the Reservoir Engineers and the Data Scientists – defining the scope, writing requirements, arranging testing, and ensuring what is being build is correct.
Key requirements
- Oil & Gas experience
- SME in Petroleum / Reservoir Engineering
- Exposure to LLM models
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Consultant - Reservoir Engineering & AI employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Reservoir Engineering & AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the Oil & Gas sector and let them know you're on the hunt for a Consultant role. You never know who might have the inside scoop on opportunities or can put in a good word for you.
✨Tip Number 2
Show off your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience in Petroleum and Reservoir Engineering. Share specific examples of how you've bridged gaps between engineers and data scientists in past projects.
✨Tip Number 3
Stay updated on LLM and ML trends! Brush up on the latest developments in large language models and machine learning that are relevant to upstream operations. This will not only boost your confidence but also impress interviewers with your knowledge.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly through us means you’ll be in the loop for any new opportunities that pop up in the consultancy space.
We think you need these skills to ace Consultant - Reservoir Engineering & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Petroleum and Reservoir Engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Consultant role. We love seeing enthusiasm and a clear understanding of the Oil & Gas industry, so let your passion show!
Showcase Your Technical Skills: Since this role involves bridging the gap between engineers and data scientists, make sure to highlight your knowledge of LLM and ML models. We’re keen to see how you can contribute to building out those use cases!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team. Let’s get started on this exciting journey together!
How to prepare for a job interview at Arcus Search
✨Know Your Stuff
Make sure you brush up on your knowledge of Petroleum and Reservoir Engineering. Be ready to discuss specific LLM use cases and how they can be applied in Upstream Operations. The more you know, the more confident you'll feel!
✨Bridge the Gap
Since this role involves liaising between Reservoir Engineers and Data Scientists, think about how you can effectively communicate complex ideas. Prepare examples of how you've successfully collaborated with different teams in the past.
✨Showcase Your Experience
Highlight your Oil & Gas experience during the interview. Be prepared to discuss previous projects where you've implemented ML models or worked with data in a relevant context. Real-world examples will make you stand out!
✨Ask Smart Questions
Prepare insightful questions about the project and the company’s approach to integrating AI in their operations. This shows your genuine interest and helps you understand if the role is the right fit for you.