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- Tasks: Lead AI projects to optimise business decisions and automate processes in finance.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Enjoy a collaborative environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of AI in finance, making impactful decisions and driving change.
- Qualifications: Masters or PhD in a quantitative field; hands-on ML engineering experience required.
- Other info: Flexible management opportunities based on your experience and skills.
The predicted salary is between 54000 - 84000 £ per year.
Take a technical leadership position within JPMorgan\’s Commercial & Investment Bank, where you\’ll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.
As an Applied AI / ML Lead – Vice President – Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company\’s unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
#CIBAppliedAI
Applied AI ML Lead - DocAI employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead - DocAI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in Natural Language Processing and Computer Vision. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and ML fields, especially those working in financial services. Attend relevant conferences or webinars to gain insights and make connections that could lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with MLOps tooling and big data technologies by discussing specific projects you've worked on. Be prepared to explain how you’ve implemented scalable applications and maintained machine learning models over time.
✨Tip Number 4
Prepare to communicate complex technical concepts clearly to both technical and non-technical audiences. Practising this skill can set you apart, as effective communication is key in a collaborative environment like JPMorgan.
We think you need these skills to ace Applied AI ML Lead - DocAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI techniques, and any specific projects related to NLP or Computer Vision. Use keywords from the job description to align your skills with what JPMorgan is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background makes you a perfect fit for the Applied AI ML Lead role. Mention specific achievements that demonstrate your ability to lead projects and collaborate with teams.
Showcase Technical Skills: Clearly outline your technical skills, especially in MLOps tooling, deep learning architectures, and programming languages like Python. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models, statistical methods, and data analysis techniques. Be ready to discuss your approach to building scalable applications and your experience with big data technologies.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience in machine learning engineering. Highlight specific projects where you've developed and deployed business-critical models, especially in NLP or Computer Vision.
✨Communicate Clearly
Since the role involves conveying complex AI concepts to both technical and non-technical audiences, practice explaining your work in simple terms. This will demonstrate your ability to bridge the gap between technical details and business needs.
✨Demonstrate Collaboration Skills
Emphasise your experience working with cross-functional teams, particularly with software engineering and cloud teams. Share examples of how you’ve collaborated on designing and delivering production architectures.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills in real-world scenarios. Be ready to discuss how you would approach building scalable data science capabilities or implementing MLOps tooling.
