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Senior Machine Learning Engineer at VC-backed identity verification platform
2 weeks ago
This is a job that we are recruiting for on behalf of one of our customers.
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
Title: Senior Machine Learning Engineer at VC-backed identity verification platform
Company Description: VC-backed identity verification platform
Job Description:
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.
Location: Mumbai, India
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
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
The ideal candidate:
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)
How to Apply:
To apply for this job speak to Jack, our AI recruiter.
Step 1. Visit our website
Step 2. Click 'Speak with Jack'
Step 3. Login with your LinkedIn profile
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions
Step 5. If the hiring manager would like to meet you, Jack will make the introduction
