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- Tasks: Lead the development of innovative AI products and collaborate with top-tier teams.
- Company: Join a pioneering firm focused on ethical AI and data governance.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a significant impact.
- Qualifications: PhD in a quantitative field and experience in ML engineering required.
- Other info: Dynamic role with excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
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.
Job 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.
Generative AI - Vice President in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI - Vice President in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and ML space. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI products. This is your chance to demonstrate your expertise and passion for the field, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission of responsible AI innovation.
We think you need these skills to ace Generative AI - Vice President in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for generative AI shine through! We want to see how your experience aligns with our mission to revolutionise data and analytics. Share specific examples of your work that demonstrate your commitment to innovation and ethical practices.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Generative AI Vice President role. Highlight relevant experiences, especially in ML engineering and team leadership. We love seeing how your skills can contribute to our cross-functional collaboration!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language to convey your ideas and experiences. We appreciate well-structured applications that make it easy for us to understand your qualifications and how they align with our goals.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at J.P. Morgan
✨Know Your AI Stuff
Make sure you brush up on the latest trends in generative AI and LLMs. Be ready to discuss your hands-on experience with ML engineering and how you've applied it in real-world scenarios. This is your chance to showcase your expertise, so don’t hold back!
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of past collaborations. Think about how you’ve bridged gaps between scientific research and software engineering, and be ready to explain how you fostered innovation in those situations.
✨Understand Business Objectives
Get familiar with the company’s goals and how they align with AI initiatives. Be prepared to discuss how you can translate business expectations into clear OKRs. This shows that you’re not just a tech whiz but also someone who understands the bigger picture.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms. You might be talking to stakeholders who aren’t as tech-savvy, so being able to build trust through clear communication will set you apart.
