Product Intern

IDfy; Mumbai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

IDfy in Mumbai is seeking a driven AI/ML-focused professional to convert customer needs into feature specs and drive applied ML, including retrieval-augmented generation, vector embeddings, and RAG systems.

The role involves presenting with leadership in customer demos, synthesizing executive feedback, and designing AI workflows that balance accuracy, latency, and cost while tracking data privacy considerations.

Qualifications

• Hands-on ML projects or internships involving ML tasks and LLM/RAG implementations.
• Solid grasp of ML theory and metrics like precision and recall.

Responsibilities

• Translate customer needs into concrete feature specs.
• Dive into ML and LLM techniques including retrieval-augmented generation and embeddings.
• Co-present with leadership during customer demonstrations to showcase product capabilities.
• Synthesize feedback from executives into practical directions for the product.
• Design workflows that leverage AI for real-world use cases.
• Evaluate model performance across accuracy, latency, and cost.
• Test and evaluate new AI platforms and tools.
• Keep pace with AI developments and data privacy regulations.

Skills

Machine Learning

LLMs

RAG Systems

Vector DBs

Model Evaluation

Prompt Engineering

Retrieval Optimization

Data Privacy

Communication

Self-learning

Tools

Vector Databases

Fine-tuning

LLM Platforms

Experiment Tracking

Job description

Batch: 2025/2026/2027.

About the role:

• Tackle genuine product challenges by converting customer needs into concrete feature specifications
• Dive into applied machine learning and large language model techniques, including retrieval-augmented generation, vector embeddings, model assessment, prompt engineering, and retrieval optimization
• Co-present with leadership during customer demonstrations to showcase product capabilities
• Synthesize feedback from executives and product stakeholders into practical, implementable directions
• Design and validate workflows that leverage AI for real-world use cases
• Evaluate model performance across accuracy, latency, and operational cost dimensions
• Test and evaluate newly emerging AI platforms and tools
• Keep pace with developments in AI, machine learning applications, LLM methodologies, and data privacy regulation frameworks

What you bring:

• Completed hands-on projects, research initiatives, or internship work involving machine learning—classification tasks, named entity recognition, recommendation engines, or production-grade LLM and retrieval-augmented generation implementations
• Solid grasp of machine learning theory, model assessment metrics including precision and recall, and data cleaning techniques
• Practical experience working with large language models beyond simple chat interfaces, such as constructing RAG systems, working with vector databases and similarity search, model customization through fine-tuning, or building autonomous agent systems
• Strong analytical and logical reasoning ability with comfort breaking problems into first principles
• Quantitative mindset with strong math foundations
• Clear communicator in writing and conversation
• Business-oriented perspective with insight into what customers actually need
• Self-directed approach and genuine interest in learning new areas
• Comfort moving quickly and adjusting course in a dynamic product team