Senior Computer Vision Engineer; Deep Learning & Vision AI

Position: Senior Computer Vision Engineer (Deep Learning & Vision AI)
Company Description
Threat

XIntel is a cybersecurity startup dedicated to safeguarding organizations from diverse cyber threats. With expertise in cloud security, web and mobile testing, Dev Sec Ops , and more, the team delivers tailored, cost-effective solutions for businesses of all sizes. Threat

XIntel adopts a proactive security approach, monitoring and testing digital environments to identify and address vulnerabilities preemptively. The company’s mission is to provide high-quality cybersecurity services that ensure peace of mind and enable businesses to thrive. Based on a foundation of innovation and commitment, Threat

XIntel empowers clients to protect their digital assets in an increasingly complex cyber landscape.

Role Description
We are seeking a Senior Computer Vision Engineer with strong expertise in Deep Learning and Vision AI to design and deploy real-world, production-grade computer vision systems.
The ideal candidate will work on real-time vision applications, on-device AI models, and advanced deep learning architectures combining Computer Vision, NLP, and Vision-Language Models.

Key Responsibilities
Design and develop scalable Computer Vision and AI solutions
Build real-time and on-device vision systems for enterprise applications
Develop deep learning models using CNN, RCNN, and transformer architectures
Implement image processing and OCR pipelines
Work with Vision-Language Models and LLM-based vision systems
Apply predictive analytics and NLP techniques where required
Optimize models for real-time inference and edge deployment
Perform data preprocessing, model training, evaluation, and optimization
Collaborate with data scientists, engineers, and product teams
Maintain production ML pipelines and continuously improve model accuracy
Required Technical Skills
Computer Vision & Deep Learning
Strong experience in Computer Vision and Image Processing
Hands-on experience with CNN, RCNN, and Transformer-based architectures

Experience with real-time and on-device AI deployments
Experience building OCR and document intelligence systems
Exposure to Vision-Language Models and multimodal AI
Data Science & AI
Predictive analytics and machine learning fundamentals
Exposure to NLP concepts and multimodal AI systems
Programming & Frameworks
Strong Python programming skills

Experience with Tensor Flow, PyTorch, or similar deep learning frameworks