Applied AI ML Analyst
Applied AI ML Analyst
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Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As an AI engineer on NLP at JPMorgan Wealth Management you will have the opportunity to work on stateoftheart Language Modelling projects that will transform the operating model for the Wealth Management business. The key focus areas within this position will be on prompt engineering for Large Language Models (LLMs) and supporting the development and deployment of promptbased models for various NLP tasks such as text classification question answering and language generation on a rich universe of financial and market data including unique datasets which can be leveraged to define the experiences for our clients and employees across the globe. At JPMorgan you will be part of a worldclass analytics community dedicated to skill development and career growth in analytics data science machine learning and beyond.
Job responsibilities:
- Design deploy and manage promptbased models on LLMs for various NLP tasks in the financial services domain
- Conduct research on prompt engineering techniques to improve the performance of promptbased models within the financial services field
- Collaborate with crossfunctional teams to identify requirements and develop solutions to meet business needs within the organization
- Communicate effectively with both technical and nontechnical stakeholders
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs
- Develop and maintain tools and framework for promptbased model training evaluation and optimization
- Analyze and interpret data to evaluate model performance to identify areas of improvement
Required Qualifications capabilities and skills:
- Bachelors degree or higher in Computer Science Engineering or related field
- 3 years of experience in NLP and deep learning with recent exposure on prompt engineering on LLMs
- Experience with prompt design and implementation or chatbot application
- Programming skills in Python with experience in PyTorch or TensorFlow
- Thorough knowledge of deep learning concepts including attention mechanisms transformers and language modelling
- Experience in data preprocessing feature engineering and data analysis
- Excellent problemsolving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
- Basic knowledge of deployment processes including experience with GIT and version control systems for efficient collaboration and code management in MLOps projects
- Familiarity with data structures and algorithms enabling effective problemsolving and optimization in machine learning workflows
- Hands on experience with MLOps tools and practices ensuring seamless integration of machine learning models into production environments
- Understanding of the software development lifecycle with a focus on incorporating machine learning components and adhering to best practices in version control and code quality
Preferred Qualifications capabilities and skills:
- Masters or PhD in Computer Science Data Science or related field
- Knowledge of financial products and services including trading investment and risk management
- Familiarity with machine learning frameworks like scikitlearn and Keras
- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and finetune LLM with a focus on parameterefficient mixtureofexpert and instruction methods designing and developing advanced LLM prompts RetrievalAugmented Generation (RAG) solutions and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Required Experience:
IC
Employment Type
Full-Time
