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- Tasks: Build and maintain high-performance AI pipelines for innovative projects.
- Company: Join Chubb's Global Analytics team in a dynamic London environment.
- Benefits: Enjoy competitive salary, pension scheme, and hybrid working options.
- Other info: Exciting opportunity for career growth in a collaborative team.
- Why this job: Make an impact in AI while working with cutting-edge technology.
- Qualifications: 5+ years in AI/ML engineering, fluent in Portuguese and English.
The predicted salary is between 60000 - 75000 £ per year.
Chubb is seeking an experienced AI Engineer fluent in Portuguese and English to join their Global Analytics team in London. This position focuses on the end-to-end lifecycle of AI, requiring expertise in building production-grade pipelines and maintaining high-performance inference solutions.
The ideal candidate must have over 5 years of experience in AI/ML engineering, a strong command of Python, and familiarity with Docker and Kubernetes.
Competitive salary and benefits include a pension scheme and hybrid working options.
Bilingual AI Engineer — LLM Production & Low-Latency Pipelines in London employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bilingual AI Engineer — LLM Production & Low-Latency Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those who might know about openings at Chubb. A friendly chat can sometimes lead to a referral, which is a great way to get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. We want to see how you’ve tackled real-world problems with your expertise in Python, Docker, and Kubernetes.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI/ML concepts and coding skills. Practice common algorithms and data structures, and be ready to discuss your past experiences in building production-grade pipelines. We love seeing candidates who can think on their feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Chubb.
We think you need these skills to ace Bilingual AI Engineer — LLM Production & Low-Latency Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering, especially with Python, Docker, and Kubernetes. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
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 bilingual skills can benefit our Global Analytics team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any production-grade pipelines or inference solutions, make sure to mention them! We’re interested in real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Chubb
✨Brush Up on Your AI Knowledge
Make sure you’re up to speed with the latest trends and technologies in AI and ML. Review your past projects and be ready to discuss how you've built production-grade pipelines and maintained inference solutions. This will show your expertise and passion for the field.
✨Showcase Your Bilingual Skills
Since the role requires fluency in both Portuguese and English, prepare to demonstrate your language skills during the interview. You might be asked to explain technical concepts in both languages, so practice switching between them smoothly.
✨Familiarise Yourself with Docker and Kubernetes
These tools are crucial for the position, so be prepared to discuss your experience with them. Consider bringing examples of how you've used Docker and Kubernetes in previous roles to manage and deploy applications effectively.
✨Prepare Questions About the Role
Interviews are a two-way street! Think of insightful questions about Chubb's Global Analytics team and their approach to AI. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.