AI/ML Engineer Data Engineer (Delhi)

Lenskart; Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Lenskart is seeking a Junior AI/ML Engineer Data Engineer (Retail Intelligence) to bridge data infrastructure and AI-driven applications within the Retail Intelligence team. You will develop dashboards and AI agents, connecting store operations with leadership decisions.

You will work with LLM APIs like Claude, GPT-4, Gemini to deliver scalable insights and intelligent workflows, collaborating with cross-functional teams across retail operations and SaaS platforms.

Qualifications

• Solid foundation in ML and data pipelines.
• Experience with SaaS products is a plus.
• Experience using LLM APIs (Claude, GPT-4, Gemini) and building dashboards.

Responsibilities

• LLM-Powered Dashboard Development.
• Design and build operational dashboards using LLM APIs and data visualization tools.
• Integrate LLM outputs into live dashboards for AI-driven insights.
• Collaborate with stakeholders to translate retail KPIs into automated metrics.

Skills

LLMs

GenAI

Data Engineering

ML Models

Retail Ops

AI Agents

SaaS Background

Tools

Tableau

Power BI

Streamlit

React

Python

Job description

ROLE OVERVIEW

We are looking for a motivated and technically curious Junior AI/ML Engineer Data Engineer to join our Retail Technology team. This is a high-impact, cross-functional role at the intersection of artificial intelligence, data engineering, and retail operations. The ideal candidate comes from a SaaS product background, has a solid foundation in ML and data pipelines, and is excited to apply cutting-edge AI (including LLM-based solutions such as Claude, GPT, Gemini, or similar) to real-world retail challenges from store operations and maintenance to CEO-level escalation management and new store openings.

Job Title

Junior AI/ML Engineer Data Engineer (Retail Intelligence)

Department

CEO's Office

Location

Hybrid (On-site + Remote)

Employment Type

Full-Time | Junior Level (13 years exp.)

Industry

Retail (Preferred: prior SaaS background)

Salary Band

Competitive Based on experience

Topics

• LLMs / GenAI
• Data Engineering
• ML Models
• Retail Ops
• AI Agents
• SaaS Background

About the Role

This role bridges the gap between data infrastructure and intelligent AI-driven applications. You will work closely with retail operations, store maintenance, remote optimization (Optum), NSO (Recent Store Opening) teams, and senior leadership to build pipelines, AI agents, and dashboards that drive decisions at speed and scale. You will be hands-on with large language model (LLM) APIs such as Claude, GPT-4, Gemini, or similar to create intelligent agents and accuracy-enhanced workflows.

Key Responsibilities

• LLM-Powered Dashboard Development
• Design and build operational dashboards using LLM APIs (e.g., Claude, GPT-4, Gemini) and data visualization tools (e.g., Tableau, Power BI, Streamlit, or custom React/Python frontends).
• Integrate LLM outputs into live dashboards to surface AI-driven insights for store ops, maintenance, and leadership teams.
• Collaborate with business stakeholders to translate retail KPIs into automated dashboard metrics.
• Build pr .