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For Companies At a Glance
- Tasks: Lead an AI engineering team to create innovative machine learning solutions.
- Company: Join Chubb, a dynamic company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 5+ years in Machine Learning, fluent in Mandarin and English.
- Other info: Exciting projects with excellent 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.
- React to shifting priorities without compromising deadlines and momentum.
Qualifications
Must have:
- 5+ years’ experience in Machine Learning (ML), with deep expertise in writing and reviewing production code in Python.
- Proficiency in Mandarin and English is essential.
- Knowledge of ML frameworks and libraries (such as TensorFlow/PyTorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
- Experience with designing scalable end-to-end Machine Learning/NLP systems.
- Experience on distributed, high throughput and low latency architecture.
- Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
- Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
- Familiarity with Continuous Integration tools such as Jenkins.
Nice to have:
- Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.
- Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT, GPT) is a huge plus.
- Familiarity with end-to-end application development using full stack is a plus.
- Experience in P&C insurance is a plus.
AI Engineer in London employer: Chubb Ltd.
Contact Detail:
Chubb Ltd. 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 open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and NLP techniques. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in a fast-paced 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, Python, and any relevant projects you've worked on. We want to see how your skills match up with what we're looking for!
Showcase Your Language Skills: Since proficiency in Mandarin and English is essential, don’t forget to showcase your language skills prominently. We love seeing candidates who can communicate effectively in multiple languages, so let that shine through!
Highlight Relevant Experience: When writing your application, focus on your experience with ML frameworks like TensorFlow or PyTorch. Share specific examples of projects where you’ve implemented state-of-the-art techniques. We’re keen to see your hands-on experience!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Chubb Ltd.
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with different algorithms and how you've implemented them in production. This is your chance to show off your expertise!
✨Language Skills Matter
Since proficiency in Mandarin and English is essential, practice discussing technical topics in both languages. You might be asked to explain complex ideas or past projects in Mandarin, so being comfortable switching between languages will definitely give you an edge.
✨Show Your Team Spirit
The role involves working closely with data scientists and managing a team, so be prepared to talk about your leadership style and how you handle team dynamics. Share examples of how you've defined tasks and tracked progress in previous projects to demonstrate your ability to lead effectively.
✨Be Ready for Technical Questions
Expect some deep dives into your coding skills and architectural knowledge. Brush up on your Python coding and be ready to solve problems on the spot. Familiarity with containerization technologies like Docker and Kubernetes will also come in handy, so don’t shy away from discussing your experiences with these tools.