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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 dynamic team and shape the future of AI in insurance.
- Qualifications: 5+ years in AI/ML, strong Python skills, and bilingual in Spanish and English.
- Other info: Collaborative environment with opportunities for professional growth.
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 talk the talk but also walk the walk when it comes to technical challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
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 experience with AI/ML and Python. 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 passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaborative Spirit: Since we value teamwork, mention any experiences where you’ve worked in a collaborative environment. Highlight how you contributed to the success of a project and what you learned from others.
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 from our team!
How to prepare for a job interview at Chubb Insurance Hong Kong
✨Brush Up on Your AI Knowledge
Make sure you're up to speed with the latest trends in AI and ML, especially around LLMs and MLOps. Review your past projects and be ready to discuss how you've trained and fine-tuned models, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures, and be ready to explain your thought process clearly.
✨Understand Containerized Architectures
Familiarise yourself with containerization technologies like Docker and Kubernetes. Be prepared to discuss how you've deployed models in these environments and the benefits of using them for model performance and reliability.
✨Prepare for Collaborative Scenarios
This role requires working in a collaborative environment, so think of examples from your past experiences where teamwork was key. Be ready to share how you’ve contributed to group projects and how you handle feedback and differing opinions.