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703 JPMorgan Chase & Co. Jobs

Data Scientist Lead

JPMorgan Chase

based on 6.1k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Data Scientist Lead

JPMorgan Chase & Co.

posted 7hr ago

Flexible timing

Key skills for the job

+ 2 more

A great opportunity to make an impact by building cutting edge Artificial Intelligence and Machine Learning solutions to drive business growth
As a Senior Data Scientist Associate at JPMorgan Chase within the Asset and Wealth Management Technology team, your role will be instrumental in transforming the operating model for the Wealth Management business through state-of-the-art Language Modelling projects.
Your primary responsibilities will include prompt engineering for Large Language Models (LLMs), and aiding in the development and deployment of prompt-based models for various Natural Language Processing tasks such as text classification, question answering, and language generation.
You will have the opportunity to work with a vast array of financial and market data, including unique datasets, to shape the experiences of our clients and employees worldwide.
As part of a world-class analytics community, you will have ample opportunities for skill development and career growth in analytics, data science, machine learning, and beyond.

Job Responsibilities

Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Effectively communicate technical concepts to both technical and non-technical stakeholders
Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs
Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
Analyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
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 pre-processing, feature engineering, and data analysis
Excellent problem-solving 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 problem-solving 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
Experience in developing and deploying production-grade NLP models in the financial services industry
Familiarity with machine learning frameworks like scikit-learn and Keras
Experience in developing APIs and integrating NLP models into software applications

Employment Type: Full Time, Permanent