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- Tasks: Lead a team to develop AI capabilities and mentor engineers in a dynamic environment.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to innovation.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and a focus on inclusion.
- Why this job: Be at the forefront of AI advancements while making a significant impact in banking.
- Qualifications: PhD or top commercial AI lab experience, strong AI fundamentals, and leadership skills required.
- Other info: Work in a collaborative culture that values continuous learning and excellence.
The predicted salary is between 72000 - 108000 £ per year.
The Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key \”Domains\” that are crucial to the firm, such as Documents, Email, Speech, and more. We are looking for an Executive Director for our Corporate and Investment Banking Applied AI team to lead the development of a small team of specialists. This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership, including reproducing external results and publishing novel findings within one of the Domains. We seek an team member with a strong foundation in artificial intelligence and software engineering, who has made significant contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations.
As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI advancements.
Job Responsibilities
Assist LoB AI teams to directly solve for priority use cases within the domain
Design and build services and libraries that LoB AI teams want to use
Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
Work seamlessly with technology partners to build and maintain business critical services
Drive best practice as a community leader and ensure AI practitioners in the firm stay up to date with the latest advances
Required qualifications, capabilities and skills
PhD and academic research experience or have worked in one of the top commercial AI research labs
Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
Recent hands-on experience training, deploying models and pipelines
Familiarity with distributed computing patterns for training, serving, persistence of state
Experience in building and leading high-performing AI teams
Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences
Able to influence key decision makers with compelling technical arguments.
Applied AI ML Director 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 Director
✨Tip Number 1
Network with professionals in the AI and machine learning field, especially those who have experience in corporate banking. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your leadership skills by participating in or leading AI-related projects or initiatives. Highlight any experience you have in mentoring teams or driving innovation within your current role.
✨Tip Number 3
Stay updated on the latest advancements in AI technologies and methodologies. Engage with open-source projects and contribute to discussions in relevant online communities to demonstrate your expertise and commitment to the field.
✨Tip Number 4
Prepare to discuss specific use cases where you've successfully implemented AI solutions. Be ready to articulate how these experiences can translate into value for J.P. Morgan's Corporate and Investment Banking team.
We think you need these skills to ace Applied AI ML Director
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in artificial intelligence and software engineering. Emphasise any contributions to open source projects and leadership roles in AI teams, as these are crucial for the Applied AI ML Director position.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for leading an AI team and how your background aligns with the responsibilities outlined in the job description. Mention specific examples of how you've driven innovation and best practices in previous roles.
Showcase Technical Expertise: Include details about your hands-on experience with training and deploying AI models, as well as your familiarity with distributed computing patterns. This will demonstrate your technical proficiency and readiness for the role.
Prepare for Interviews: Be ready to discuss complex technical concepts and how you can influence decision-makers. Practice explaining your past projects and their impact on business operations, as this will be key during the interview process.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Showcase Your Technical Expertise
Be prepared to discuss your deep understanding of AI fundamentals and practical experience with data analysis. Highlight any recent hands-on experience you've had with training and deploying models, as this will be crucial for the role.
✨Demonstrate Leadership Skills
Since the position involves leading a team, share examples of how you've successfully mentored and inspired others in previous roles. Discuss your approach to fostering a culture of excellence and innovation within a team.
✨Communicate Complex Ideas Clearly
Practice explaining complex technical concepts in simple terms. This is essential, as you'll need to convey ideas to diverse audiences, including key decision-makers who may not have a technical background.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would assist Line of Business AI teams with priority use cases and be ready to discuss your design and build strategies for services and libraries.
