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AI/ML Engineer — Answer Sheet Evaluation
AI/ML Engineer — Answer Sheet Evaluation
CNV AI Labs Inc's logo

AI/ML Engineer — Answer Sheet Evaluation

SHITAL BAINGNE's profile picture
Posted by SHITAL BAINGNE
3 - 6 yrs
₹8L - ₹10L / yr
Remote only
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconDeep Learning
Generative AI
Computer Vision
Optical character recognition
Document processing
OpenCV
skill iconPython
PyTorch
TensorFlow
Hugging Face Transformers
Semantic search
Fine-tuning LLMs
Prompt engineering
TensorRT
ONNX
CUDA
skill iconDocker
skill iconKubernetes
FastAPI
RESTful APIs
skill iconAmazon Web Services (AWS)
MLOps
MySQL
Multi-modal AI

The problem you are solving

250 million students sit exams in India every year. Every answer sheet is graded by a tired human with a red pen, in a room with no AC, in 45-degree heat, under political pressure. The variance in marks between two evaluators on the same paper can be 15-20%. That is not education. That is luck. We are building the AI that changes this — reading handwriting, understanding context, scoring semantically, flagging uncertainty, matching faculty-level accuracy. We need the engineer who will make this work at scale.


What you will build

HTR

Handwriting recognition on smudged, mixed-script answer sheets — not clean printed text


Layout

Detect question boundaries, diagrams, tables, margin notes across 20+ page booklets


NLP

Semantic scoring — does this answer mean the right thing, not just contain the right words


Confidence

Know when the model is unsure and route to human review with explainability


Scale

Process millions of pages during exam seasons — async pipeline on AWS SQS + GPU workers


Must have built something hard — any of these

Document OCR / HTR pipeline

Fine-tuned LLM for domain scoring

Layout / document understanding model

Semantic similarity / NLI at scale

GPU inference pipeline (TensorRT/ONNX)

Multi-language NLP (Indic languages +)


Competition — 3 rounds

Round 1

Given 50 real (anonymized) answer sheets: build a pipeline that extracts, structures and scores them. Accuracy vs faculty marks is the metric.


Round 2

48-hour sprint: improve your Round 1 model given live feedback on failure cases. Confidence calibration included.


Round 3

Live oral defense with Sachin and Hemant. Walk us through every architectural decision. We will break it.

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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About CNV AI Labs Inc

Founded :
2017
Type :
Product
Size :
100-500
Stage :
Profitable

About

N/A

Company social profiles

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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