Applied AI/ML Associate - Banking Document Automation

JP Morgan Services India Pvt Ltd; Hyderabad; Presencial; INR 900.000 - 1.600.000; Jornada completa

Descripción de la vacante

JP Morgan Services India Pvt Ltd is seeking an AI Practitioner to design and implement AI solutions for client onboarding and documentation operations. You will lead development and deployment of document intelligence models, LLM-based data extraction frameworks, and automation pipelines, while collaborating with business leaders to deliver measurable results.

The role involves hands-on solution design, model development, and potential leadership as the AI portfolio expands, with a focus on

Formación

• At least 4 years of AI/ML experience, with 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 data ingestion/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, Textract, Form Recognizer, etc.).
• Demonstrated ability to drive AI solution design and deployment independently.

Responsabilidades

• 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 to enable rapid adoption across operations.
• Lead and expand a specialized AI team as solution scale grows.
• 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.

Conocimientos

NLP expertise

Document AI

Generative AI

TensorFlow

PyTorch

spaCy

Python

SQL

Pandas

Educación

Bachelor's or Master's in Computer Science/AI/Data Science

Herramientas

FastAPI

Docker

CI/CD

Flask

OpenAI API

HuggingFace

TensorFlow

PyTorch

Descripción del empleo

Applied AI /ML Associate 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.

About JPMorgan Chase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Experience Level

Mid Level