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- Tasks: Lead an AI engineering team to create innovative AI solutions and tackle complex challenges.
- Company: Join Chubb's dynamic AI team, known for its high-energy and collaborative environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in a fast-paced setting.
- Qualifications: 5+ years in Machine Learning, fluent in Mandarin and English, with strong coding skills.
- Other info: Exciting projects with excellent career advancement opportunities await you!
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.
Minimum Requirements
- 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) 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 - Must be Mandarin and English Fluent in London employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai Engineer - Must be Mandarin and English Fluent in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Chubb or similar companies. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that highlight your expertise in Python and NLP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively in both Mandarin and English.
✨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 the initiative to engage directly with us.
We think you need these skills to ace Ai Engineer - Must be Mandarin and English Fluent in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point.
Tailor Your Application: Customise your application to reflect the job description. Mention your proficiency in Mandarin and English, and how your experience fits into the AI engineering landscape we’re working in.
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!
How to prepare for a job interview at Chubb
✨Brush Up on Your Tech Skills
Make sure you're up to speed with the latest machine learning frameworks and libraries like TensorFlow and PyTorch. Be ready to discuss your experience with Python and how you've implemented various ML algorithms in production. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Multilingual Abilities
Since fluency in Mandarin and English is a must, prepare to demonstrate your language skills during the interview. You might be asked to explain complex technical concepts in both languages, so practice switching between them smoothly. This will highlight your ability to communicate effectively in a multilingual environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you handle real-world challenges, especially around shifting priorities and managing stakeholder expectations. Think of examples from your past experiences where you successfully navigated these situations, as this will showcase your problem-solving skills and adaptability.
✨Know Your Projects Inside Out
Be ready to discuss your previous projects in detail, especially those involving NLP techniques and scalable ML systems. Highlight your role in these projects, the technologies you used, and the impact they had. This will demonstrate your hands-on experience and your ability to lead a team in delivering high-quality AI products.
