Data & AI · LT-2026-002

Lead Data Scientist — GenAI

Global Retail Major · Posted 1 day ago

Location

Bengaluru

Work mode

Hybrid

Type

Full-time

Experience

7 – 12 yrs

Compensation

₹40 – 60 LPA

Posted

1 day ago

About the role

A global retail organisation is building a GenAI capability that spans merchandising, marketing, and customer operations. This role leads the platform side — the models, evaluation harness, and MLOps that everything else builds on.

You will define the roadmap alongside the VP of Data and manage a growing team of applied scientists and ML engineers.

What you'll do
  • Own the LLM platform strategy — model selection, fine-tuning, evaluation

  • Build and maintain the shared prompt/agent framework used across business teams

  • Lead a team of 4–6 applied scientists + ML engineers

  • Set the evaluation harness — offline + online, safety + performance

  • Represent the platform in enterprise architecture reviews

What we're looking for
  • 7+ years in data science / ML with 2+ leading a team

  • Deep hands-on GenAI experience — LLMs, RAG, agents, evals

  • PyTorch fluency + production MLOps (Ray, Kubeflow, or equivalent)

  • Vector database experience (pgvector / Pinecone / Weaviate)

  • Track record of shipping ML systems to production

Nice to have
  • Published research or open-source ML contributions

  • Experience in retail / e-commerce data

  • Fine-tuning open-weight models (Llama, Mistral)

What you get
  • Top-quartile compensation for GenAI leadership in Bengaluru

  • Compute budget for research and evaluation

  • Direct executive sponsorship and roadmap authority

  • Direct recruiter and hiring-manager access — no black-hole applications

  • Structured, timely feedback after every stage

  • Honest guidance on compensation, notice period, and market

  • Onboarding support in the first 30 days after joining

Interview process

Structured, timely, and short.

  1. 01

    Recruiter screen (30 min)

  2. 02

    Technical + case discussion (90 min)

  3. 03

    Leadership panel (60 min)

  4. 04

    Executive conversation with VP Data (45 min)

Start the conversation

Hire smarter, build faster, scale further — with one partner.

Book a 30-minute consultation with our enterprise team. We'll send a tailored proposal — costs, capacity, milestones — within 48 hours.