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Senior Machine Learning Engineer at VC-backed identity verification platform

Are you a Senior Machine Learning Engineer passionate about building trust and security in the digital world? This is a unique opportunity to lead the development of advanced AI/LLM solutions for a well-funded identity verification platform. You'll tackle complex challenges in privacy AI, contract analysis, and risk assessment, impacting millions of daily transactions and shaping the future of digital trust.

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Location

Mumbai, India

Compensation

Not Disclosed

Company

Confidential company

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Role overview

Join a pioneering platform leveraging advanced ML, NLP, and LLMs to build trust and streamline digital experiences. This role involves developing and deploying cutting-edge AI solutions for identity verification, risk assessment, and compliance, impacting millions of daily verifications. You'll work on critical privacy AI use cases, ensuring frictionless and secure interactions.

About the company

VC-backed identity verification platform

What you will do

  • Develop and fine-tune LLMs for contract analysis, regulatory classification, and risk assessment.
  • Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid DB-based querying.
  • Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions.

Who this is a fit for

  • Possesses 5-8 years of experience in Machine Learning, NLP, and LLM-based solutions.
  • Has strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models).
  • Experienced with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar).

Why this role is remarkable

  • Lead the development of advanced AI/ML solutions in a critical and high-impact domain: identity verification and digital trust.
  • Join a well-funded platform backed by top-tier VCs, poised for continued growth and innovation in the industry.
  • Work with cutting-edge LLM and RAG technologies on a platform processing millions of verifications daily.
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