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- Tasks: Deploy AI models and optimise performance in a cutting-edge environment.
- Company: Join Aramco's Digital & AI Centre of Excellence in Saudi Arabia.
- Benefits: Permanent role with competitive salary and career advancement opportunities.
- Other info: Work with advanced tools like Kubernetes, Docker, and Python.
- Why this job: Be at the forefront of AI/ML technology and make a significant impact.
- Qualifications: Master's degree and 8 years of experience, including LLM deployment.
The predicted salary is between 80000 - 100000 £ per year.
Aramco is seeking an AI/ML/LLM Systems Engineer for their Digital & AI Center of Excellence based in Saudi Arabia. This permanent role requires a master's degree and 8 years of experience, including 4 years in LLM deployment.
Responsibilities include:
- Deploying AI models
- Optimizing inference performance
- Implementing CI/CD pipelines
The ideal candidate will demonstrate proficiency in tools such as Kubernetes, Docker, and Python, and have experience in managing high-performance computing environments.
Enterprise AI/ML Systems Engineer — LLM Inference employer: Aramco
Contact Detail:
Aramco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI/ML Systems Engineer — LLM Inference
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Aramco or similar companies. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your experience with LLM deployment and tools like Kubernetes and Docker. This will give you an edge and make you memorable during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and understanding CI/CD pipelines. Mock interviews can help you feel more confident and prepared.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Enterprise AI/ML Systems Engineer — LLM Inference
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with AI models, LLM deployment, and any relevant tools like Kubernetes and Docker. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background makes you a perfect fit for the role. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying AI models or optimising performance, we want to know what you've done and the impact it had. Real-world examples can really set you apart.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Aramco
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML, especially around LLM deployment. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Technical Skills
Since the role requires proficiency in tools like Kubernetes, Docker, and Python, be prepared to talk about your experience with these technologies. You might even want to bring examples of how you've used them to optimise inference performance or manage high-performance computing environments.
✨CI/CD is Key
Understanding Continuous Integration and Continuous Deployment (CI/CD) pipelines is crucial for this role. Be ready to explain how you've implemented CI/CD in past projects, the tools you used, and the impact it had on your team's efficiency and product quality.
✨Cultural Fit Matters
Aramco values collaboration and innovation, so think about how you can demonstrate that you're a team player who thrives in a dynamic environment. Share examples of how you've worked effectively in teams and contributed to a positive workplace culture.