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- Tasks: Train and fine-tune AI models while optimising inference pipelines.
- Company: International insurance firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work options, and extensive perks.
- Why this job: Join a collaborative team and make an impact in AI technology.
- Qualifications: 5+ years in AI/ML and strong Python skills required.
- Other info: Exciting opportunities for professional growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
An international insurance firm is seeking an AI Engineer fluent in Spanish and English for its London office. The role involves training and fine-tuning AI models, optimizing inference pipelines, and deploying models within containerized architectures.
Requires over 5 years of AI/ML experience and strong Python skills, with additional focus on model performance and reliability in a collaborative environment.
Competitive salary, hybrid working options, and extensive perks are offered.
Production AI Engineer - LLMs & MLOps (Hybrid, London) employer: Chubb Insurance Hong Kong
Contact Detail:
Chubb Insurance Hong Kong Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer - LLMs & MLOps (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MLOps. This will help us see your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding model performance metrics. We want to see that you can not only build models but also optimise them for reliability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Production AI Engineer - LLMs & MLOps (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI/ML experience and Python skills. We want to see how your background aligns 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 passionate about AI and how your experience makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working in a collaborative environment, make sure to mention any teamwork experiences. We value communication and collaboration, so share examples of how you've worked effectively with others in the past.
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 out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Chubb Insurance Hong Kong
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the latest AI models, especially LLMs. Be prepared to discuss your experience with training and fine-tuning these models, as well as any specific projects you've worked on that demonstrate your skills.
✨Showcase Your Python Proficiency
Since strong Python skills are a must, brush up on your coding abilities. Be ready to solve problems or even write snippets of code during the interview. It’s a great way to show off your technical expertise!
✨Discuss Model Performance and Reliability
Prepare to talk about how you’ve optimised inference pipelines in the past. Share examples of how you’ve ensured model performance and reliability, as this will highlight your practical experience in a collaborative environment.
✨Emphasise Your Language Skills
Fluency in both Spanish and English is key for this role. Be ready to demonstrate your language skills during the interview, perhaps by discussing your previous work experiences in both languages. This will show your versatility and ability to communicate effectively.