Related skills
computer vision tensorflow pytorch ocr multimodalπ Description
- Design, train, and deploy deep-learning models for computer vision, multimodal fusion.
- Build production-ready AI pipelines for OCR, biometric matching, and fraud detection.
- Lead face intelligence and liveness detection; defend against presentation attacks.
- Develop image and video quality assessment models for reliable security decisions.
- Build identity quality signals by leveraging user behaviors and cross-modal risk indicators.
- Collaborate with backend, product, and infrastructure teams to scale AI in production.
π― Requirements
- Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
- 8+ years in AI/ML for computer vision, multimodal learning, vision-LLM, or generative modeling.
- Strong proficiency with PyTorch and/or TensorFlow; production ML experience.
- Strong system-level thinking and ability to design end-to-end AI solutions.
π Benefits
- Competitive total compensation package
- L&D programs and education subsidies for growth and development
- Team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependants
- More perks to discuss during the interview process
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