At a Glance
- Tasks: Develop and support cutting-edge AI solutions in a collaborative environment.
- Company: Join JD Sports Fashion, a leader in the retail industry.
- Benefits: Enjoy employee discounts and personal development opportunities.
- Other info: Work in a dynamic team, 4 days a week in the office.
- Why this job: Be at the forefront of generative AI and make a real impact.
- Qualifications: 2-3 years in AI Engineering with strong Python skills required.
The predicted salary is between 40000 - 50000 € per year.
JD Sports Fashion is seeking an AI Engineer in Bury to develop and support production-grade AI solutions. The ideal candidate will have 2-3 years of experience in AI Engineering or related roles, with strong Python skills and a practical understanding of LLMs and generative AI.
This full-time role involves collaboration with Senior Data Scientists and other teams. The position offers employee discounts and opportunities for personal development while requiring an in-office presence of 4 days a week.
Generative AI Engineer — Production AI & LLMOps in Bury employer: JD Sports Fashion
JD Sports Fashion is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Bury. Employees benefit from generous discounts, robust personal development opportunities, and a supportive environment that encourages growth in the rapidly evolving field of AI. With a focus on teamwork and cutting-edge technology, this role promises a meaningful and rewarding career path for aspiring AI Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer — Production AI & LLMOps in Bury
✨Tip Number 1
Network like a pro! Reach out to current employees at JD Sports Fashion on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those involving LLMs and generative AI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and AI concepts. We can even set up mock interviews with friends or mentors to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what JD Sports is looking for.
We think you need these skills to ace Generative AI Engineer — Production AI & LLMOps in Bury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI Engineering and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've done and how it relates to the role at JD Sports Fashion.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at JD Sports Fashion
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and LLMs. Be ready to discuss specific projects you've worked on, especially those involving Python. This will show that you not only understand the theory but also have practical experience.
✨Show Your Team Spirit
Since this role involves collaboration with Senior Data Scientists and other teams, be prepared to talk about your teamwork experiences. Share examples of how you've successfully worked in a team setting, highlighting your communication skills and adaptability.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your Python skills and be ready to solve coding problems or explain your thought process. Practising common AI engineering scenarios can give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current AI projects or their approach to personal development. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
