At a Glance
- Tasks: Design and develop AI/ML solutions for personalisation and recommendations.
- Company: Join Joybuy, a leading European e-commerce brand under JD.com.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Work in a vibrant London office with a dynamic team.
- Why this job: Be at the forefront of AI technology and shape the future of online shopping.
- Qualifications: Experience in AI/ML and a passion for innovative tech solutions.
The predicted salary is between 80000 - 98000 £ per year.
Joybuy, JD.com’s European full-category online retail brand, is seeking an experienced AI Engineer to design, develop, and deploy AI/ML solutions powering Joybuy. You will work at the intersection of ML, engineering, and product to build intelligent systems for personalisation, search, recommendations, and content understanding at scale.
Based in Green Park, London, you will own end-to-end ML lifecycle from problem framing to training, evaluation, deployment, monitoring, and iteration.
AI Engineer – Global E‑commerce Personalisation (London) employer: JD.COM
JD.COM is an exceptional employer that prioritises professional growth and inclusivity within its overseas e-commerce team. With a focus on innovation in algorithm architecture, employees benefit from competitive salaries, a supportive work culture, and opportunities to engage in cutting-edge projects that enhance their skills in real-time data processing and microservices.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer – Global E‑commerce Personalisation (London)
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We think you need these skills to ace AI Engineer – Global E‑commerce Personalisation (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at JD.COM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
