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- Tasks: Lead the development of cutting-edge AI models and high-performance inference pipelines.
- Company: Join Chubb, a leader in global analytics and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: 5+ years in AI/ML, strong Python skills, and experience with LLMs.
The predicted salary is between 70000 - 90000 £ per year.
Chubb is seeking an AI Engineer to join their Global Analytics team in London. This role focuses on the full lifecycle of production-grade AI, from training models to architecting high-performance inference pipelines.
With a minimum of 5 years in AI/ML engineering, candidates should have deep proficiency in Python and hands-on experience with LLMs. Familiarity with Docker and Kubernetes are necessary.
Join Chubb to drive innovation in AI solutions.
Senior AI Engineer: Production-Scale LLM & Low-Latency in London employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Production-Scale LLM & Low-Latency in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Chubb on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those involving LLMs. We want to see your hands-on experience in action!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and your knowledge of Docker and Kubernetes. We can help you with resources to ace those coding challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to drive innovation in AI solutions.
We think you need these skills to ace Senior AI Engineer: Production-Scale LLM & Low-Latency in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML engineering, especially your proficiency in Python and any hands-on work with LLMs. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior AI Engineer role. Mention your familiarity with Docker and Kubernetes, as well as your fluency in Mandarin if applicable.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for our team.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Chubb
✨Know Your AI Stuff
Make sure you brush up on your knowledge of production-grade AI and LLMs. Be ready to discuss your past projects in detail, especially how you've trained models and built inference pipelines. This is your chance to showcase your expertise!
✨Python Proficiency is Key
Since deep proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve problems on the spot, so practice common algorithms and data structures in Python beforehand.
✨Docker and Kubernetes Familiarity
Familiarise yourself with Docker and Kubernetes, as these tools are essential for deploying AI solutions. Consider discussing any relevant experiences you have with containerisation and orchestration during the interview.
✨Brush Up on Mandarin
If you're fluent in Mandarin, don’t shy away from using it! You might be asked to communicate in Mandarin during the interview, so practice some technical terms related to AI and ML to impress your interviewers.