Applied AI / ML Associate

8 - 13 years

25 - 30 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Are you ready to shape the future of banking with cutting-edge AI solutionsJoin 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 Applied AI / ML Associate within our dynamic team, you design and implement AI-driven solutions to streamline onboarding and document-intensive banking operations. 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, goverce, 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

  • 8+ 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, goverce, and AI explainability frameworks in ficial 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.

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JPMorgan Chase Bank logo
JPMorgan Chase Bank

Financial Services

New York

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