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- Tasks: Lead a team to design and build cutting-edge AI solutions for real-world challenges.
- Company: Join Chubb, a dynamic company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make a difference by developing high-quality AI products that impact businesses globally.
- Qualifications: Experience in AI engineering and strong collaboration skills are essential.
- Other info: Fast-paced environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
The AI Team at Chubb is looking for a multilingual AI Engineer to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to lead an AI engineering team in delivering high quality AI products.
Major Responsibilities
- Work closely with a team of data scientists to design, build, and test machine learning models to solve complex business challenges on the Azure platform with a focus on English and non-English models.
- Research and implement state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
- Define individual tasks for the development team and track progress on a regular basis.
- Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
- Build reusable tools to streamline the modeling pipeline and share knowledge.
- Manage project stakeholder expectations and communicate progress on issues.
- React to shifting priorities without compromising deadlines and momentum.
AI Engineer in 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 AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Chubb or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and projects. This is your chance to demonstrate your expertise in zero-shot/few-shot learning and other techniques that will impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve tackled complex challenges and how you can contribute to a high-energy team like Chubb's.
✨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.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning models and any relevant projects you've worked on, especially those involving Azure. We want to see how your skills align with our needs!
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 you can contribute to our team. Be sure to mention any specific techniques or approaches you've used that relate to the job description.
Showcase Your Projects: If you've worked on any cool AI projects, don't hold back! Include links or descriptions of your work in your application. We love seeing practical examples of your skills, especially if they involve innovative modeling approaches.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Chubb Insurance Hong Kong
✨Know Your AI Stuff
Make sure you brush up on the latest AI trends and technologies, especially those mentioned in the job description like zero-shot learning and embedding techniques. Be ready to discuss your experience with machine learning models and how you've tackled complex challenges in the past.
✨Showcase Your Team Spirit
Since this role involves working closely with data scientists and leading a team, be prepared to share examples of how you've collaborated in the past. Highlight your ability to define tasks, track progress, and manage stakeholder expectations effectively.
✨Demonstrate Problem-Solving Skills
Think of specific instances where you've solved tough problems using AI solutions. Be ready to explain your thought process and the steps you took to implement your ideas, especially in a fast-paced environment.
✨Prepare for Technical Questions
Expect some technical questions related to coding and AI model development. Brush up on your coding skills and be ready to write some sample code or discuss your approach to ensuring high-quality code that meets business objectives.
