Senior Machine Learning Engineer

About IDfy

IDfy is an Integrated Identity Platform offering products and solutions for KYC, KYB, Background Verifications, Risk Assessment, and Digital Onboarding. We establish trust while delivering a frictionless experience for you, your employees, customers and partners.

Only IDfy combines enterprise-grade technology with business understanding and has the widest breadth of offerings in the industry. With more than 12+ years of experience and 2 million verifications per day, we are pioneers in this industry.

Our clients include HDFC Bank, Induslnd Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others.

We have successfully raised $27M from Elev8 Venture Partners, KB Investments & Tenacity Ventures!

We work fully onsite on all days of the week from our office in Andheri East, Mumbai

We're a perfect match if you have-

4-8 years of experience in Machine Learning, NLP, and LLM-based solutions.

Strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models).

Experience with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar).

Hands-on with agentic RAG, sliding window chunking, and efficient context retrieval techniques.

Deep understanding of privacy AI use cases, including contract analysis, regulatory classification, and PII mapping.

Proficiency in Python and frameworks like PyTorch, TensorFlow, JAX, Hugging Face, or LangChain.

Experience in building scalable AI APIs and microservices.

Exposure to MLOps practices, including model monitoring, inference optimization, and API scalability.

Experience working with at least one cloud provider (AWS, GCP, or Azure).

Good-to-Have Skills

Experience in hybrid AI architectures combining vector search + relational databases.

Familiarity with functional programming languages (Go, Elixir, Rust, etc.).

Understanding of privacy compliance frameworks (DPDP Act, GDPR, CCPA, ISO 27701).

Exposure to Kubernetes, Docker, and ML deployment best practices.

Contributions to open-source LLM projects or privacy AI research.

In this role you will :

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 to power DPIA and compliance workflows.

Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions.

Develop knowledge graph-based purpose taxonomies for privacy policies and PII classification.

Automate data discovery for structured and unstructured data, classifying it into PII categories.

Optimize sliding window chunking, token-efficient parsing, and context-aware summarization for legal and compliance texts.

Build APIs and ML services for deploying models in a high-availability production environment.

Collaborate with privacy, legal, and compliance teams to build AI solutions that power Privy’s data governance tools.

Stay ahead of the curve with agentic RAG, multi-modal LLMs, and self-improving models in the compliance domain.