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- Tasks: Support AI cloud deployment and troubleshoot for enterprise customers.
- Company: Leading AI cloud company with a focus on innovation.
- Benefits: Competitive compensation, flexible working options, and career growth.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies.
- Qualifications: 5+ years in software engineering, especially with AI/ML and cloud.
- Other info: Collaborative environment with opportunities to make a real impact.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI cloud company is hiring a Forward Deployed Engineer to work closely with enterprise customers in the UK and Ireland. This role involves supporting AI cloud deployment, troubleshooting, and collaborating with engineering teams to ensure optimal performance.
Candidates should have over 5 years of software engineering experience, particularly with AI/ML workloads, cloud infrastructure, and production environments.
This is a full-time position offering competitive compensation and flexible working options.
Enterprise AI Deployment Engineer - Forward-Deployed in London employer: Datacrunch
Contact Detail:
Datacrunch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Deployment Engineer - Forward-Deployed in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Enterprise AI Deployment Engineer - Forward-Deployed in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML workloads and cloud infrastructure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do.
Showcase Problem-Solving Skills: Since troubleshooting is key in this role, include examples of challenges you've faced in previous positions and how you overcame them. We appreciate candidates who can think on their feet!
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 Datacrunch
✨Know Your AI and Cloud Stuff
Make sure you brush up on your knowledge of AI/ML workloads and cloud infrastructure. Be ready to discuss specific projects you've worked on, especially those involving deployment and troubleshooting in production environments.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles. Think about times when you had to troubleshoot issues or optimise performance, and be ready to explain your thought process.
✨Collaborate Like a Pro
Since this role involves working closely with engineering teams, be prepared to talk about your experience in collaborative environments. Highlight any cross-functional projects you've been part of and how you contributed to team success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they measure success in deployments. This shows you're genuinely interested and engaged.
