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- Tasks: Develop machine learning features to optimise revenue strategies for hotel clients.
- Company: Leading hospitality solutions provider with a focus on innovation.
- Benefits: Competitive salary, remote work, and excellent benefits.
- Why this job: Join a dynamic team and make a real impact in the hospitality industry.
- Qualifications: Strong background in ML development, MLOps, Python, and AWS.
The predicted salary is between 36000 - 60000 £ per year.
A leading hospitality solutions provider is seeking a skilled MLOps Engineer to join their remote team. In this role, you will develop machine learning features that help hotel clients optimize revenue strategies. You will collaborate closely with product and engineering teams to enhance system reliability and performance.
The ideal candidate will have a strong background in ML development, MLOps practices, and essential skills in Python and AWS. Competitive benefits and remote work opportunities are offered.
Remote MLOps Engineer – AI for Hospitality Growth in London employer: Cloudbeds
Contact Detail:
Cloudbeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote MLOps Engineer – AI for Hospitality Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the hospitality and tech sectors on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving Python and AWS. This will help you stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for the interview by brushing up on common MLOps scenarios. Think about how you would tackle real-world problems in hospitality and be ready to share your thought process.
✨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 that extra step!
We think you need these skills to ace Remote MLOps Engineer – AI for Hospitality Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML development and MLOps practices. We want to see how your skills in Python and AWS can contribute to optimising revenue strategies for our hotel clients.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI in hospitality and how you can enhance system reliability and performance. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or MLOps, don’t hold back! Share links or descriptions that demonstrate your expertise and problem-solving skills. We love seeing real-world applications!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Cloudbeds
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and practices. Be ready to discuss your previous projects, especially those involving MLOps. Highlight how you've used Python and AWS in your work, as these are key skills for the role.
✨Showcase Collaboration Skills
Since this role involves working closely with product and engineering teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to enhance system performance.
✨Understand the Hospitality Sector
Do a bit of research on the hospitality industry and its revenue strategies. Being able to speak knowledgeably about how machine learning can optimise these strategies will show your genuine interest in the role and the company.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the company's future projects, their approach to MLOps, or how they measure success in this role. It shows you're engaged and serious about the opportunity.
