Senior Machine Learning Engineer

5 days ago


Mumbai, Maharashtra, India IDfy Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Who are we?

Eliminate Fraud. Establish Trust.

IDfy
is Asia's leading TrustStack, trusted by the best, with global expertise and enterprise-grade tech, we're solving trust challenges, making compliance easy, fraud detection smarter, and onboarding seamless. Our clients include HDFC Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others. With more than 13+ years of experience and 2 million verifications per day, we are pioneers in this industry. IDfy's three platforms- OnboardIQ, OneRisk, and Privy - come together to form one seamless solution enabling trust.

OnboardIQ

An onboarding platform that accelerates growth with frictionless omni-channel onboarding, while mitigating fraud and improving quality of account.

OneRisk

A fraud and risk management platform to mitigate financial, legal, and reputational risks and avoid losses with proactive fraud prevention. It covers individual risk, entity risk, and asset risk.

Privy

A privacy and data governance platform to ensure DPDPA compliance through trust and privacy governance suite and avoid monetary and reputational loss.

The Role -
We're hiring a
Machine Learning Engineer
to build and
deploy production-grade AI
systems across
NLP, Computer Vision, and Generative AI
. If you enjoy taking models from prototype all the way to scalable, reliable production services, this role is for you.

What You'll Do

  • Build, fine-tune, and deploy
    NLP, CV, and Generative AI models
    (LLMs, transformers, diffusion models, vision models, etc.)
  • Develop robust
    ML pipelines
    , CI/CD workflows, and scalable inference services
  • Deploy models on
    cloud platforms
    (AWS/GCP/Azure) using Docker & Kubernetes
  • Monitor models for drift, performance, and reliability
  • Collaborate with product, data, and engineering teams to deliver real-world AI solutions

What We're Looking For

  • 4-8 years
    experience as an ML Engineer or similar role
  • Strong Python skills + experience with
    PyTorch/TensorFlow
    , Hugging Face, OpenCV
  • Hands-on experience deploying
    production ML/GenAI systems
  • Solid understanding of MLOps tools (MLflow, Kubeflow, Airflow, etc.)
  • Experience with LLMs, embeddings, vector search, or multimodal models
  • Experience in building scalable AI APIs and microservices, build APIs and ML services for deploying models in a high-availability production environment


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