Product Intern

IDfy; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

IDfy is seeking a data-minded ML/AI-focused professional to drive feature definitions, experiment with RAG and embeddings, and showcase solutions in live customer demos. You will build AI-driven workflows, benchmark model performance, and stay updated on evolving ML trends and DPDP compliance.

You will work closely with leadership to translate complex technical findings into actionable product insights and scalable AI methodologies.

Qualifications

• Hands-on project, research, or internship experience with core ML tasks such as classification, NER, recommendation systems, or applied LLM/RAG projects.
• Understand ML fundamentals: model evaluation, precision/recall, data preprocessing, and reasoning about model behavior.

Responsibilities

• Diving into real-world product problems, breaking down user needs, and driving feature definitions with ownership.
• Exploring how applied ML and LLM techniques (RAG, embeddings, model evaluation, prompt and retrieval strategies) can enhance Privy’s core modules with hands-on experimentation.
• Participating in live customer demos with leadership, listening to feedback from CXOs and product leaders, turning it into real-world insights.
• Building and testing AI-driven workflows, benchmarking model outputs on accuracy, speed, and cost tradeoffs, and experimenting with emerging AI tools.
• Staying sharp on evolving AI/ML trends, applied ML and LLM techniques, and DPDP compliance frameworks.

Skills

ML tasks

Classification

NER

Recommendation systems

Applied LLM/RAG

Tools

Claude

GPT

Job description

Responsibilities

• Diving into real-world product problems, breaking down user needs, and driving feature definitions with a strong sense of ownership.
• Exploring how applied ML and LLM techniques (RAG, embeddings, model evaluation, prompt and retrieval strategies) can enhance Privy's core modules, with plenty of hands‑on experimentation.
• Participating in live customer demos alongside leadership, listening to feedback from CXOs and product leaders, and turning it into real‑world insights.
• Building and testing AI-driven workflows, benchmarking model outputs on accuracy, speed, and cost tradeoffs, and constantly experimenting with emerging AI tools.
• Learning fast: staying sharp on evolving AI/ML trends, applied ML and LLM techniques, and DPDP compliance frameworks.

What your day would look like

• Diving into real-world product problems, breaking down user needs, and driving feature definitions with a strong sense of ownership.
• Exploring how applied ML and LLM techniques (RAG, embeddings, model evaluation, prompt and retrieval strategies) can enhance Privy's core modules, with plenty of hands‑on experimentation.
• Participating in live customer demos alongside leadership, listening to feedback from CXOs and product leaders, and turning it into real‑world insights.
• Building and testing AI-driven workflows, benchmarking model outputs on accuracy, speed, and cost tradeoffs, and constantly experimenting with emerging AI tools.
• Learning fast: staying sharp on evolving AI/ML trends, applied ML and LLM techniques, and DPDP compliance frameworks.

We're the perfect match if you

• Have hands‑on project, research, or internship experience with core ML tasks such as classification, NER, recommendation systems, or applied LLM/RAG projects, not just working with pre-built AI tools.
• Understand ML fundamentals: model evaluation, precision/recall tradeoffs, data preprocessing, and reasoning about why a model behaves the way it does.
• Have built with LLMs beyond basic prompting, such as RAG pipelines, embeddings/vector search, fine‑tuning, or agentic workflows, using models like Claude, GPT, or similar.
• Possess exceptional problem-solving skills, first‑principles thinking, and strong quantitative/analytical ability.
• Demonstrate strong business acumen: understanding the "why" behind features and how technology solves end‑user pain points.
• Show excellent written and verbal communication skills, with the ability to articulate complex technical ideas clearly to technical and non-technical audiences alike.
• Possess a strong ownership mindset, high curiosity, and thrive in a fast‑paced product environment.