17 Oct
JPMorgan Chase
London
Job description
As an Applied AI ML Lead - Vice President in the Markets Operations team at . Morgan Corporate Investment Bank, you will be at the forefront of our industry-leading AI team.
You will have the opportunity to advance the state of the art in financial applications, ranging from generating business intelligence to predictive models and automated decision making.
You will work closely with our Markets Operations team, applying AI techniques to answer questions relevant to their operations.
This role will challenge you to formulate, communicate, and promote the implementation of AI solutions, build robust, scalable, and reusable AI capabilities, and stay ahead of AI trends and technologies.
You will also have the chance to provide technical mentorship and guidance to team members, sharing best practices and staying at the forefront of machine learning advances.
Job responsibilities
- Formulate, communicate and drive implementation of AI solutions for challenging Markets Operations problems.
- Build robust, scalable and reusable AI capabilities.
- Collaborate with software engineering partners to design and deploy Machine Learning services that can be integrated with strategic systems.
- Work closely with business domain experts in a partnership model, conveying information clearly and creating a sense of trust with stakeholders.
- Design intrinsic and extrinsic evaluation metrics of model performance in alignment with business goals.
- Continuously enhance existing machine learning models for improved quality and speed
- Stay ahead of AI trends and technologies, applying innovative approaches to drive business value.
- Provide technical mentorship and guidance to team members,
sharing best practices and staying at the forefront of machine learning advances
Required qualifications, capabilities and skills
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
- Considerable experience in an applied Machine Learning or Data Science role.
- Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale.
- Deep knowledge of machine learning algorithms applied to solving business problems.
- Proficiency in Python and popular Data Science frameworks (. pytorch, pandas, numpy etc) and MLOps platforms (. Sagemaker)
- Solid understanding of metrics, benchmarking and evaluation methodology AI-powered user-facing products.
- Experience working in highly collaborative environments with complex technical dependencies.
- Proven ability to work effectively in cross-functional teams, collaborating with product managers, engineers, and business leaders, to align AI strategies with organizational goals.
- Strategic mindset with the ability to translate business challenges into AI-driven solutions.
- Excellent communication skills, with ability to articulate complex technical details to non-technical stakeholders.
- Experience mentoring and developing talent within data science and machine learning teams.
Preferred qualifications, capabilities and skills
- Experience with fine tuning and deploying open source LLMs.
- Experience with few-shot and zero-shot learning approaches.
- Experience with real-time feedback loops.