At a Glance
- Tasks: Lead the development of innovative AI products and collaborate with cross-functional teams.
- Company: Join J.P. Morgan, a global leader in financial services, driving AI innovation.
- Benefits: Diverse and inclusive workplace with opportunities for professional growth.
- Other info: Be part of a dynamic team focused on ethical AI practices.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: PhD in a quantitative field and experience in ML engineering required.
The predicted salary is between 120000 - 180000 € per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. We are thrilled to introduce you to our team at the Chief Data and Analytics Office (CDAO) organization. As the driving force behind the firmwide adoption of artificial intelligence (AI) across our company, our dedicated team is responsible for overseeing data use, governance, and controls around the build, adoption and maintenance of cloud infrastructure, data and AI/ML products. With a focus on both effectiveness and responsibility, we strive to push the boundaries of innovation while ensuring ethical and sustainable practices. Join us on this exciting journey as we revolutionize the way we leverage data and analytics to shape the future of our organization.
As a Generative AI Vice President within our CDAO organization, you will play a crucial role in ensuring the smooth operation and optimization of our LLM aided AI products. Our firm-wide team focuses on developing scalable LLM-based products and reusable back-end APIs. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). You will ensure that our APIs are built with scalability in mind, allowing them to efficiently handle a large number of requests without compromising performance. By designing APIs with a clear separation of concerns and well-defined interfaces, we enable other teams and developers to leverage our APIs to build their own ML products and solutions, fostering a culture of collaboration and efficiency.
Responsibilities
- Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs.
- Bridge scientific research and software engineering, requiring expertise in both domains.
- Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures.
Required Qualifications, Capabilities, And Skills
- PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics.
- Experience in an individual contributor role in ML engineering.
- Proven track record in building and leading teams of experienced ML engineers/scientists.
- Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms.
- Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.).
- Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results).
- Experience as a "Responsible Owner" for ML services in enterprise environments.
- Excellent grasp of computer science fundamentals and SDLC best practices.
- Ability to understand business objectives and align ML problem definition.
- Strong communication skills to effectively convey technical information and ideas at all levels, building trust with stakeholders.
Preferred Qualifications, Capabilities, And Skills
- Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
- Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints.
- Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
About The Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Generative AI - Vice President employer: hackajob
At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Chief Data and Analytics Office. As a Vice President in Generative AI, you will have the opportunity to lead cutting-edge projects while benefiting from our commitment to employee growth, diversity, and inclusion. Our global presence and focus on ethical practices ensure that your contributions will not only drive business success but also make a meaningful impact in the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI - Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and ML. We want you to showcase your expertise and passion, so get comfortable talking about your projects!
✨Tip Number 3
Showcase your work! If you've got projects or papers, share them during interviews. It’s a great way to demonstrate your skills and thought process.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Generative AI - Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Generative AI Vice President role. Highlight your experience in ML engineering and any leadership roles you've had. We want to see how your skills align with our focus on innovation and collaboration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise, especially in areas like NLP, Computer Vision, and scalable applications. We’re looking for someone who can bridge the gap between science and engineering, so make that clear in your application!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at hackajob
✨Know Your Stuff
Make sure you brush up on your knowledge of generative AI, LLMs, and the latest trends in machine learning. Be ready to discuss your experience with specific frameworks like Ray or DeepSpeed, as well as your understanding of NLP and computer vision algorithms.
✨Showcase Your Leadership Skills
As a Vice President, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've built and managed successful ML teams in the past, and be ready to discuss your approach to fostering collaboration across cross-functional teams.
✨Align with Business Goals
Understand the business objectives of J.P. Morgan and how your role can contribute to them. Be prepared to discuss how you would write clear OKRs and align ML problem definitions with business expectations, showcasing your strategic thinking.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to build trust with stakeholders at all levels. Think about how you can convey your ideas effectively during the interview.
