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- Tasks: Lead the development of impactful Generative AI products using unique datasets.
- Company: Join a data-driven organization at the forefront of AI innovation.
- Benefits: Be part of a small, dynamic team with a significant influence on global issues.
- Why this job: Work on projects that shape daily lives and global geopolitics; be a pioneer in AI.
- Qualifications: Experience in building customer-facing Generative AI products is essential.
- Other info: This role offers a chance to work with proprietary datasets that drive real-world change.
The predicted salary is between 43200 - 72000 £ per year.
You should avoid applying for this role if you haven't got experience of building customer facing Generative AI products.
You should also avoid applying if the prospect of working with a huge, unique & proprietary dataset to train models doesn't appeal to you.
Oh yeah, and it's a hugely influential dataset that affects global geo-politics at one end of the spectrum, and all of our daily lives on the other.
The AI Products you build leveraging this data will be hugely influential.
You'll join a small team leading the organisations AI strategy & roadmap.
The organisation is data driven to it's core. Everyone is excited by the potential of the AI Products they can build, both generative & traditional.
Intrigued?
Apply now
Principal AI Engineer employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer
✨Tip Number 1
Make sure to highlight your experience with customer-facing Generative AI products in any conversations you have. This role is all about leveraging that experience, so be ready to discuss specific projects you've worked on.
✨Tip Number 2
Familiarize yourself with the unique and proprietary datasets that are relevant to this position. Understanding how to work with large datasets will show that you're prepared for the challenges of the role.
✨Tip Number 3
Demonstrate your passion for AI and its impact on global issues during your discussions. The organization values data-driven insights, so showing that you understand the broader implications of your work can set you apart.
✨Tip Number 4
Engage with the current AI strategy and roadmap of the organization. Being knowledgeable about their direction and goals will help you align your vision with theirs, making you a more attractive candidate.
We think you need these skills to ace Principal AI Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in building customer-facing Generative AI products. Provide specific examples of projects you've worked on and the impact they had.
Showcase Your Data Skills: Discuss your familiarity with handling large, unique datasets. Explain how you have used such data to train models and the results achieved, especially in relation to global or daily life impacts.
Express Enthusiasm for AI Strategy: Convey your excitement about being part of a small team that leads the AI strategy and roadmap. Share your vision for AI products and how you can contribute to the organization's goals.
Tailor Your Application: Customize your application to reflect the organization's data-driven culture. Use language from the job description to demonstrate that you understand their mission and values.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Experience with Generative AI
Make sure to highlight your previous work on customer-facing Generative AI products. Be prepared to discuss specific projects, the challenges you faced, and how you overcame them.
✨Demonstrate Data Handling Skills
Since the role involves working with a unique and proprietary dataset, be ready to talk about your experience in handling large datasets. Discuss any relevant tools or techniques you've used to train models effectively.
✨Understand the Impact of AI on Society
Given the influential nature of the AI products you'll be building, it's crucial to express your understanding of how AI can affect global geopolitics and daily life. Prepare examples of how your work has had a positive impact in these areas.
✨Align with the Organization's Data-Driven Culture
Research the organization's approach to data and AI. Be ready to discuss how you can contribute to their AI strategy and roadmap, and show enthusiasm for being part of a data-driven team.
