Applied AI /ML Associate

JPMorgan Chase & Co.; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

JPMorgan Chase & Co. seeks an AI Practitioner to transform client onboarding and document operations using cutting-edge AI. You will design and deploy AI solutions, lead model development, and contribute hands-on across the solution lifecycle.

The role emphasizes production-grade systems, data privacy, and scalable automation. With 4+ years in AI/ML, you will apply NLP, document intelligence, and LLM techniques to streamline KYC processes and onboarding workflows, potentially transitioning into

Qualifications

• At least 4 years of AI/ML experience, with 4+ years in NLP/Document AI/Generative AI.

Responsibilities

• Deliver production-grade AI solutions for document understanding and onboarding automation.
• Build and deploy LLM-powered extraction and summarization frameworks for unstructured documents.
• Achieve measurable improvements in accuracy, turnaround time, and operational efficiency.
• Develop reusable AI modules and APIs for rapid adoption across operations.
• Lead and expand a specialized AI team as scale and demand grow.
• Design, implement, and optimize AI models and algorithms for diverse business applications.
• Collaborate with stakeholders to translate requirements into AI solutions.
• Analyze large datasets to extract actionable insights for data-driven decisions.
• Ensure compliance with data privacy, governance, and ethical standards.
• Monitor and retrain models to maintain reliability.
• Drive innovation by exploring emerging AI frameworks and technologies.

Skills

NLP/Document AI

ML Algorithms

Python

SQL

TensorFlow/PyTorch

HuggingFace Transformers

spaCy

LLM-based workflows

Prompt engineering

RAG

Model deployment

API development

Docker

CI/CD

FastAPI/Flask

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

TensorFlow

PyTorch

FastAPI

Docker

CI/CD

Cloud (AWS/GCP)

Job description

Are you ready to shape the future of banking with cutting-edge AI solutions? Join our dynamic team to transform client onboarding and document operations, partnering with business leaders to deliver measurable results in a fast-paced, collaborative environment.

Job Summary

As an AI Practitioner within the client onboarding and documentation organization, you will:

• Design and implement AI-driven solutions to streamline onboarding and document-intensive banking operations.
• Lead the development and deployment of document intelligence models, LLM-based data extraction frameworks, and automation pipelines to improve efficiency and accuracy.
• Serve as an individual contributor, deeply involved in solution design, model development, and deployment.
• Potentially transition into a team leadership role as the AI portfolio grows and solutions scale across functions.
• Apply advanced AI expertise and banking domain knowledge to deliver impactful, production-grade solutions for onboarding and KYC processes.

Job Responsibilities

• Deliver production-grade AI solutions for document understanding and onboarding automation.
• Build and deploy LLM-powered extraction and summarization frameworks for unstructured documents.
• Achieve measurable improvements in accuracy, turnaround time (TAT), and operational efficiency.
• Develop reusable AI modules and APIs to enable rapid adoption across operations functions.
• Lead and expand a specialized AI team as solution scale and business demand increase.
• Design, implement, and optimize AI models and algorithms for diverse business applications.
• Collaborate with stakeholders to gather requirements and translate them into effective AI solutions.
• Analyze large datasets to extract actionable insights and support data-driven decisions.
• Ensure all AI initiatives comply with data privacy, governance, and ethical standards.
• Monitor and maintain model performance, retraining as needed to ensure reliability.
• Drive innovation by exploring emerging AI frameworks and technologies for continuous improvement.

Required Qualifications, Capabilities, and Skills

• Atleast4 years of experience in AI/ML, with at least 4 years in NLP, Document AI, or Generative AI.
• Strong foundation in machine learning and deep learning algorithms (classification, clustering, entity extraction, semantic similarity).
• Hands-on experience with TensorFlow or PyTorch, scikit-learn, HuggingFace Transformers, and spaCy.
• Proven expertise in building document intelligence solutions (classification, OCR, key-value extraction, summarization).
• Proficiency in Python, SQL, Pandas, and experience with data ingestion and preprocessing pipelines.
• Experience deploying AI models to production, including lifecycle management and monitoring.
• Skilled in FastAPI or Flask, Docker, CI/CD, and API integration.
• Strong experience with LLM-driven workflows, prompt engineering, RAG, and LLM fine-tuning.
• Familiarity with OCR tools (Tesseract, Amazon Textract, Azure Form Recognizer, or Google Document AI).
• Demonstrated ability to drive AI solution design and deployment independently.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

Preferred Qualifications, Capabilities, and Skills

• Experience in banking client onboarding, KYC/AML, and document verification processes.
• Familiarity with corporate onboarding documentation and regulatory compliance in BFSI or regulated domains.
• Experience with multimodal document models (LayoutLMv3, Donut, DocFormer) and advanced NER/entity linking.
• Integration experience with OpenAI, Anthropic, Cohere, or open-source LLMs (LLaMA, Mistral).
• Knowledge of data privacy, governance, and AI explainability frameworks in financial services.
• Track record of cross-functional collaboration with operations, data engineering, and low-code teams.
• Ph.D. or advanced specialization in AI or related field.