Senior Quant Dev - Front Office (Bangalore, KA, IN, 560103)

HSBC
Bengaluru
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantSkills: ["Independently","Collaboratively"]

Build, train, and fine-tune large language models and generative AI for document understanding, information extraction, question answering, and multimodal representation tasks. Stay current with NLP and multimodal advances, research novel techniques for scalability, and deploy models into production with MLOps toolkits. Define validation metrics, perform rigorous testing (including regression and unit testing), and maintain documentation to support AI governance and regulatory needs.

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FursaFursa
HSBC
HSBC
2 weeks ago

Senior Quant Dev - Front Office (Bangalore, KA, IN, 560103)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build, train, and fine-tune large language models and generative AI for document understanding, information extraction, question answering, and multimodal representation tasks. Stay current with NLP and multimodal advances, research novel techniques for scalability, and deploy models into production with MLOps toolkits. Define validation metrics, perform rigorous testing (including regression and unit testing), and maintain documentation to support AI governance and regulatory needs.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Design and develop LLMs and generative AI models for document understanding, information extraction, question answering, and multimodal representation learning.
  • •Stay current with AI advancements in NLP and multimodal learning, and research novel techniques to improve model performance and scalability.
  • •Collaborate with engineering teams to deploy models into production environments and integrate them with existing systems and processes.
  • •Contribute to MLOps toolkits to streamline the machine learning lifecycle, including monitoring and maintenance.
  • •Define validation metrics and conduct rigorous validation/testing (including regression analysis, unit testing, and performance benchmarking) while maintaining documentation for governance and regulatory filings.

Key Requirements

  • •Bachelor’s, Master’s, or Doctorate degree in Machine Learning, Natural Language Processing (NLP), Computer Science, Data Science, Statistics, or a related field.
  • •Strong expertise developing, fine-tuning, and deploying LLMs and generative AI models.
  • •Proficiency in Python, including experience with PyTorch, TensorFlow, Hugging Face Transformers, and tools such as LangChain or LlamaIndex.
  • •Deep understanding of NLP techniques, multimodal representation learning, and document intelligence (e.g., document classification, information extraction, layout analysis).
  • •Familiarity with validation and testing, including unit testing frameworks, performance testing tools, and statistical methods for model evaluation.
Education:
Skills:IndependentlyCollaboratively
Tech Stack:LLMsGenerative AINLPMultimodal representation learningDocument understandingPythonPyTorchTensorFlowHugging Face TransformersLangChainLlamaIndexMLOpsUnit testingRegression analysis

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn