Position Details

Type Full-Time

Experience mid

Exp. Years 5 years

Education Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience

Category AI & Machine Learning

About this role

Data Scientist II - Computer Vision to build and maintain production CV models for document verification, including CNNs and transformer-based models, with a strong emphasis on end-to-end ML workflow and cross-functional collaboration.

Key Responsibilities

Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection
Own ML solutions end to end, from data preparation, model training, to deployment
Act as a technical point of contact for customers, leading deep dives and evaluations
Partner with engineering and product teams to deliver scalable document verification systems
Translate requirements into objectives and communicate results to stakeholders

Technical Overview

Proficiency in Python with PyTorch or TensorFlow; deep learning for CV tasks (CNNs, transformers); OCR and document verification; production ML systems; version control and experiment tracking.

Ideal Candidate

The ideal candidate is a mid-level data scientist with 5+ years of computer vision experience, strong Python and ML framework skills, and proven ability to work on production CV systems. They should excel in cross-functional collaboration and communicating complex model work to customers and stakeholders.

Must-Have Skills

5 years of professional experience in machine learning or data scienceStrong proficiency in PythonHands-on experience with ML frameworks such as PyTorch or TensorFlowExperience applying deep learning models (CNNs) in real-world computer vision systemsWorking knowledge of transformer-based approachesAbility to communicate technical ideas clearly and work effectively in a cross-functional team

Nice-to-Have Skills

Document verificationOCRidentityfraud detectionor image forensicsExposure to transformer-based vision modelsmultimodal systemsor LLMsExperience with enterprise customers or regulated environments

Tools & Platforms

PythonPyTorchTensorFlowGit

Required Skills

PythonPyTorchTensorFlowCNNsTransformer-based vision modelsMultimodal modelsOCRDocument verificationImage quality assessmentField extractionFraud detectionProduction ML systemsGitExperiment trackingReproducible ML workflows

Hard Skills

PythonPyTorchTensorFlowCNNsTransformer-based vision modelsMultimodal modelsData analysisModel trainingProduction ML systemsGitExperiment trackingReproducible ML workflows

Soft Skills

CommunicationCross-functional collaborationTeamworkProblem solvingTime management

Industry & Role

Industry Fintech

Job Function Develop and deploy production CV models for document verification with customer-facing responsibilities

Role Subtype data scientist

Tech Domains Python, PyTorch, TensorFlow, Convolutional Neural Networks, Transformer-based vision models

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Data Scientist IIComputer VisionPythonPyTorchTensorFlowCNNTransformer-based vision modelsMultimodal architecturesDocument verificationOCRImage quality assessmentField extractionFraud detectionProduction ML systemsRemoteUScustomer-facingenterprise customersregulated environmentsdata scientistpythonpytorchtensorflowcnntransformer-based vision modelsocrdocument verificationproduction ml systemsremote

Deal Breakers

Less than 5 years of CV/ML experience, No experience with PyTorch or TensorFlow, Inability to work in a remote US context

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