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- Tasks: Lead the deployment of AI solutions across EMEA and APAC, managing a team of specialists.
- Company: Join a leading technology company at the forefront of AI innovation.
- Benefits: Competitive salary, career growth, and the chance to work with global customers.
- Why this job: Drive impactful AI solutions and shape the future of technology.
- Qualifications: Bachelor's degree and experience in customer-facing technical roles required.
- Other info: Exciting opportunity to work with machine learning and conversational AI frameworks.
The predicted salary is between 42000 - 84000 £ per year.
A leading technology company is seeking an experienced AI Solutions Deployment Lead to oversee AI solutions deployment across EMEA and APAC. This strategic role involves managing deployment specialists, designing evaluation pipelines for Large Language Models, and ensuring standardized delivery across industry verticals.
Candidates should have a Bachelor's degree and extensive experience in customer-facing technical roles, including knowledge of machine learning and conversational AI frameworks. Proficiency in programming languages like Python or R is preferred.
This role provides an opportunity to drive innovative AI solutions for key global customers.
AI Solutions Deployment Lead – Applied AI, Cloud in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Deployment Lead – Applied AI, Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI solutions or machine learning. 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 common technical questions related to AI and programming languages like Python or R. Practice explaining your past experiences in customer-facing roles to highlight your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Solutions Deployment Lead – Applied AI, Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience in AI solutions and any relevant programming languages like Python or R. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the AI Solutions Deployment Lead role. Share specific examples of your past work in customer-facing technical roles and how you've successfully managed deployment projects.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in machine learning and conversational AI frameworks. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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, we love seeing applications come in through our own platform!
How to prepare for a job interview at Google Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning and conversational AI frameworks. Be ready to discuss specific projects you've worked on, especially those involving Large Language Models. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Leadership Skills
As an AI Solutions Deployment Lead, you'll be managing deployment specialists. Prepare examples of how you've successfully led teams in the past. Highlight your ability to motivate others and ensure standardized delivery across different industry verticals.
✨Get Technical with Programming
Since proficiency in programming languages like Python or R is preferred, be prepared to discuss your coding experience. You might even be asked to solve a technical problem on the spot, so practice some coding challenges beforehand to keep your skills sharp.
✨Understand the Global Landscape
This role involves overseeing deployments across EMEA and APAC, so it’s crucial to understand the nuances of these markets. Research any regional differences in AI adoption and be ready to discuss how you would tailor solutions for diverse customer needs.
