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- Tasks: Lead AI initiatives in KYC and onboarding, designing scalable systems with Python and React.
- Company: Global financial institution in London, redefining possibilities in financial services.
- Benefits: Competitive salary, professional development, and a chance to innovate in finance.
- Why this job: Join a dynamic team to shape the future of AI in financial services.
- Qualifications: Master’s or Bachelor’s degree in a relevant field and strong programming skills.
- Other info: Collaborative environment with opportunities for growth and impact.
The predicted salary is between 43200 - 72000 £ per year.
A global financial institution in London is seeking an Applied Artificial Intelligence Engineering Lead to drive AI initiatives in KYC and onboarding operations. This role requires programming skills in Python and React, along with expertise in infrastructure solutions like Terraform.
You will collaborate with multidisciplinary teams to design scalable AI systems. The ideal candidate has a Master’s or Bachelor’s degree in a relevant field and strong communication skills. Join us to redefine possibilities in financial services.
Applied AI ML Lead Engineer: Onboarding & Docs Innovator employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead Engineer: Onboarding & Docs Innovator
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and financial services. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and React. This is your chance to demonstrate your expertise in building scalable AI systems.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with multidisciplinary teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Applied AI ML Lead Engineer: Onboarding & Docs Innovator
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and React. We want to see how you can apply these skills to drive AI initiatives, so don’t hold back on showcasing your projects or experiences!
Tailor Your Application: Take a moment to customise your application for the Applied AI ML Lead Engineer role. We’re looking for someone who understands KYC and onboarding operations, so make sure to connect your experience to these areas.
Communicate Clearly: Strong communication skills are key for this role. When writing your application, be clear and concise. We want to understand your thought process and how you collaborate with multidisciplinary teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it, plus you’ll find all the details you need about the role there!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python and React skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your AI Knowledge
Since this role focuses on AI initiatives, prepare to talk about your experience with AI systems, particularly in KYC and onboarding operations. Think of examples where you've implemented AI solutions and be ready to explain the impact they had.
✨Collaboration is Key
This position involves working with multidisciplinary teams, so highlight your teamwork skills. Prepare anecdotes that demonstrate how you've successfully collaborated with others to achieve a common goal, especially in tech environments.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. This will show your ability to bridge the gap between tech and business.
