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 companys 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