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- Tasks: Advise clients on AI solutions and optimise model performance in large environments.
- Company: Global tech leader in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Degree in Computer Science, experience in AI/ML, and Python proficiency.
- Other info: Collaborative environment with exciting projects and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A global tech company in the UK seeks a Field Solutions Architect specializing in AI and Machine Learning to support Google Cloud's sales initiatives. This role involves advising clients on implementing AI solutions, crafting technical assets, and optimizing model performance in large environments.
Candidates should hold a degree in Computer Science or related fields, possess substantial experience in AI/ML, and demonstrate proficiency in Python and relevant frameworks. The position requires strong problem-solving skills and the ability to work cross-functionally.
Generative AI Field Solutions Architect Cloud & GenAI in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Field Solutions Architect Cloud & GenAI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Cloud space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and machine learning frameworks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML interview questions and be ready to discuss your problem-solving approach. We recommend practicing with a friend or using mock interview platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Generative AI Field Solutions Architect Cloud & GenAI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning. We want to see how your skills align 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 AI solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves Python and various frameworks, make sure to mention any specific tools or technologies you’ve worked with. We’re keen to know how you’ve applied these skills in real-world scenarios.
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 from our team!
How to prepare for a job interview at Google Inc.
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and Machine Learning. Be prepared to discuss specific projects you've worked on, especially those involving Google Cloud. This will show your depth of knowledge and how you can apply it to real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities. Think of challenges you've faced in previous roles and how you overcame them, particularly in large environments. This will demonstrate your critical thinking and adaptability, which are key for this role.
✨Get Comfortable with Python and Frameworks
Since proficiency in Python and relevant frameworks is crucial, be ready to discuss your experience with them. You might even be asked to solve a coding problem during the interview, so practice some common algorithms or data structures beforehand.
✨Cross-Functional Collaboration is Key
This role requires working across different teams, so be prepared to talk about your experience collaborating with others. Share specific instances where you successfully worked with cross-functional teams to deliver AI solutions, as this will highlight your teamwork skills.
