Position Details
About this role
Senior Data Scientist - Computer Vision to design and own production CV systems for document verification; build CNNs and transformer-based architectures; oversee end-to-end model lifecycle; engage with customers to explain model performance and tradeoffs.
Key Responsibilities
- Design, develop, and own advanced deep learning models for document verification use cases
- Own ML solutions end to end, from data analysis to deployment
- Act as technical point of contact for customers, leading technical deep dives and evaluations
- Partner with engineering and product teams to deliver scalable document verification systems
- Translate customer, regulatory, and business requirements into clear modeling objectives
Technical Overview
Stack includes Python with PyTorch or TensorFlow; deep learning for CNNs and transformer-based models; OCR and image analytics; production ML systems; customer-facing responsibilities; remote work.
Ideal Candidate
The ideal candidate is a senior computer vision scientist with 8+ years of CV/ML experience, expert Python and ML framework skills (PyTorch, TensorFlow), and a track record of deploying production-grade CV systems. They excel at communicating with customers and stakeholders and working in regulated enterprise environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of production CV experience, Inadequate Python/ML framework skills, Inability to engage in customer-facing technical discussions
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