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- Tasks: Engage with advanced ML and GenAI teams to drive production AI solutions.
- Company: Fast-growing AI platform company in the UK with a vibrant culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience in ML frameworks and strong communication skills are essential.
- Other info: Join a dynamic team with exciting career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing AI platform company in the UK is seeking an AI Solutions Engineer to engage with advanced ML and GenAI teams. This customer-facing role demands collaboration with technical and business stakeholders to harness the potential of production AI systems.
You will provide insights and guidance on ML best practices, conduct product demonstrations, and identify expansion opportunities within accounts.
The ideal candidate has experience in ML frameworks and a keen understanding of cloud environments, communication skills, and a passion for AI technology.
GenAI Solutions Engineer – Production ML, London employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Solutions Engineer – Production ML, London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that GenAI Solutions Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with ML frameworks and cloud environments. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to AI solutions and production ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who are eager to dive into the world of AI technology.
We think you need these skills to ace GenAI Solutions Engineer – Production ML, London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI technology shine through. We want to see that you’re not just qualified, but genuinely excited about the potential of production AI systems and how they can transform businesses.
Tailor Your Experience: Make sure to highlight your experience with ML frameworks and cloud environments in your application. We’re looking for candidates who can demonstrate their technical skills and how they’ve successfully collaborated with both technical and business stakeholders.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant to the position!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the GenAI Solutions Engineer role. We can’t wait to hear from you!
How to prepare for a job interview at Space Executive
✨Know Your ML Frameworks
Make sure you brush up on the latest ML frameworks relevant to the role. Be prepared to discuss your experience with them and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the tech, but that you can leverage it effectively.
✨Showcase Your Communication Skills
Since this is a customer-facing role, practice articulating complex AI concepts in simple terms. Think about how you would explain a technical solution to a non-technical stakeholder. This will demonstrate your ability to bridge the gap between technical and business teams.
✨Prepare for Product Demonstrations
Expect to conduct product demonstrations during the interview. Familiarise yourself with the company’s products and think about how you would present them. Highlight any previous experience you have in conducting demos and how you tailored them to meet client needs.
✨Identify Expansion Opportunities
Research the company’s existing clients and think about potential areas for expansion. During the interview, be ready to discuss how you would approach identifying new opportunities within accounts. This shows that you’re proactive and understand the business side of AI solutions.
