Senior Machine Learning Engineer at VC-backed trust & safety AI platform

5 - 8 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply, speak to Jack

Job Title:

Senior Machine Learning Engineer

Salary:

Not Disclosed

Company Description:

VC-backed trust & safety AI platform Join a pioneering AI platform leveraging advanced Machine Learning, NLP, and LLMs to build robust solutions for trust, risk assessment, and digital compliance. This role involves developing and deploying cutting-edge AI systems that ensure secure and frictionless experiences, making a significant impact in critical enterprise domains.

Location:

Mumbai, India

Why this role is remarkable:

  • Work at the forefront of privacy AI, developing and deploying advanced LLM and RAG-based solutions for critical enterprise challenges.
  • Join a well-funded, fast-growing AI platform backed by top-tier VCs, poised for significant market expansion.
  • Drive the creation of innovative AI systems that establish trust and streamline complex compliance and risk workflows.

What you will do:

  • Develop and fine-tune LLMs for sophisticated contract analysis, regulatory classification, and risk assessment.
  • Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid databases to power compliance workflows.
  • Build scalable AI APIs and microservices for deploying models in high-availability production environments.

The ideal candidate:

  • 5-8 years of experience in Machine Learning, NLP, and LLM-based solution development.
  • Strong expertise in fine-tuning and deploying LLMs (e.g., GPT-4, Llama, Mistral) and RAG architectures.
  • Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.

How to Apply:

To apply for this job, speak to Jack, our AI recruiter.Step 1. Visit our websiteStep 2. Click 'Speak with Jack'. Step 3.Log in 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.

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