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JPMorgan Chase Bank
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Applied AI ML Associate Senior

Applied AI ML Associate Senior

JPMorgan Chase Bank

3 - 8 years

30 - 35 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

Data analysis Wealth management Django Analytical Shell scripting Machine learning Agile SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As an AI ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

Job Responsibilities

Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments domain.
Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.

Required qualifications, capabilities, and skills

Formal training or certification on quantitative discipline (eg, Computer Science, Data Science, Mathematics/Statistics, or Operations Research) concepts and 3+ years applied experience
Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (eg, TensorFlow, PyTorch) and libraries (eg, NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as we'll as familiarity with state-of-the-art practices and advancements in these domains.
Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.
Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.

Preferred Qualifications, capabilities and skills

Familiarity working with one or more LLM frameworks like langchain / llamaindex / langgraph / crewAI
Familiarity with one or more python API frameworks like FastAPI/Flask/Django
Familiarity with building Retrieval Augmented Generation (RAG) based applications.

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Applied AI ML Associate Senior