Senior Computer Vision Engineer (Deep Learning & Vision AI)

Company Description ThreatXIntel is a cybersecurity startup dedicated to safeguarding organizations from diverse cyber threats. With expertise in cloud security, web and mobile testing, DevSecOps, and more, the team delivers tailored, cost-effective solutions for businesses of all sizes. ThreatXIntel 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, ThreatXIntel 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 TensorFlow, PyTorch, or similar deep learning frameworks