Applied Ai Ml Lead

6 months ago

Canary Wharf, United Kingdom JPMorgan Chase & Co Full time

**JOB DESCRIPTION**

**Job responsibilities**
- Spearhead the execution of AI solutions to address complex issues in Securities Services Operations.
- Construct robust, scalable, and reusable AI functionalities.
- Work in tandem with software engineering teams to create and implement Machine Learning services that can be incorporated into key systems.
- Establish a strong partnership with business domain experts, ensuring clear communication and fostering trust with stakeholders.
- Develop both internal and external evaluation metrics to measure model performance in line with business objectives.
- Continually refine existing machine learning models to enhance quality and efficiency.
- Stay updated with the latest AI trends and technologies, utilizing innovative methods to generate business value.
- Offer technical guidance to team members, disseminate best practices, and remain at the cutting edge of advancements in machine learning.

**Required qualifications, capabilities and skills**
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
- Considerable industry 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 (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker)
- Experience in fine-tuning, deploying and utilising LLMs in production
- 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 few-shot and zero-shot learning approaches.
- Experience in building RAG systems using LLMs
- Familiar with Agile ways of working and software development life cycle

**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. Visit our FAQs for more information about requesting an accommodation.

**ABOUT THE TEAM**

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

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