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- Tasks: Lead the development of innovative LLM products using cutting-edge AI technologies.
- Company: Global financial services firm at the forefront of AI innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Shape the future of AI and make a significant impact in a dynamic industry.
- Qualifications: PhD in a quantitative field and strong ML engineering experience required.
- Other info: Collaborative environment with cross-functional teams and exciting challenges.
The predicted salary is between 72000 - 108000 £ per year.
A global financial services firm is seeking a Generative AI Executive Director to lead the development of large language model (LLM) products. In this role, you will combine extensive data assets with cutting-edge AI technologies while collaborating with cross-functional teams to design scalable APIs.
The ideal candidate should have:
- A PhD in a quantitative field
- Significant ML engineering experience
- Strong communication skills
This position offers a unique opportunity to innovate and shape the future of AI within the organization.
Executive Director, Generative AI & ML Platforms in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Executive Director, Generative AI & ML Platforms in London
✨Tip Number 1
Network like a pro! Reach out to professionals 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 dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a GitHub repository with your projects related to generative AI and ML. This gives potential employers a taste of what you can bring to the table, and we all know actions speak louder than words.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with LLM products. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨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, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Executive Director, Generative AI & ML Platforms in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering and any relevant projects you've worked on. We want to see how your skills align with the role of Executive Director, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how your background makes you the perfect fit for leading LLM product development. We love seeing genuine enthusiasm!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your documents well. We appreciate when candidates can convey complex ideas simply!
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 this exciting opportunity. Don’t miss out on shaping the future of AI with us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Stuff
Make sure you brush up on the latest trends in generative AI and machine learning. Be ready to discuss your PhD research and how it relates to large language models. The more you can connect your experience to their needs, the better!
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of past collaborations. Highlight how you’ve successfully worked with different departments to achieve a common goal, especially in tech-driven projects.
✨Communicate Clearly
Strong communication skills are a must for this position. Practice explaining complex AI concepts in simple terms. You might be asked to present your ideas or findings, so clarity and confidence will go a long way.
✨Prepare for Technical Questions
Expect some deep dives into ML engineering during the interview. Brush up on your technical knowledge and be ready to solve problems on the spot. They might ask you to design a scalable API, so think through your approach beforehand.
