Tiger Analytics

Typical interview loop

How Tiger Analytics usually runs it for applied AI and LLM engineer roles.

1. 1

   Recruiter screen

   Focus: Background, role fit

   A first HR call on your background, which skills match the role, and salary expectations.

2. 2

   Online assessment

   Focus: Python, SQL, DS basics

   A proctored, tightly timed test, often on HackerEarth, with Python and SQL problems plus short data science multiple-choice questions.

3. 3

   First technical interview

   Focus: ML fundamentals, live coding

   A live round on fundamentals: Python and SQL work, supervised versus unsupervised learning, evaluation metrics and basic statistics, sometimes with a short project walkthrough.

4. 4

   Project deep dive

   Focus: Project depth, deployment

   A longer discussion of one or two past projects end to end, from data exploration and model choice to deployment, monitoring and, for GenAI roles, how you built the LLM pipeline.

5. 5

   Manager and HR rounds

   Focus: Business sense, culture fit

   Depending on the team, a hiring manager or senior leader runs a business case and fit conversation, followed by HR on goals, communication and pay.

How it weights your plan

Selecting Tiger Analytics when you build a plan multiplies each topic’s priority score: