Location: Karachi, Lahore, Islamabad
Company Overview
Liquid Technologies is a future-focused technology company delivering AI, software development, data engineering, DevOps, product design, and digital transformation solutions. We build intelligent AI-powered products that help organizations automate operations, optimize decision-making, and accelerate digital transformation.
We are seeking an experienced AI Engineer with expertise in Computer Vision, Video Analytics, GPU Computing, and Edge AI deployment. In this role, you will design, develop, and deploy AI-powered vision solutions for real-time video processing, intelligent automation, and enterprise applications. You will collaborate with cross-functional teams to build scalable, production-ready AI systems across cloud and edge environments.
Key Responsibilities
- Design, develop, and deploy AI-powered computer vision and video analytics solutions for real-time applications.
- Build and optimize deep learning models for object detection, tracking, segmentation, OCR, face recognition, and activity analysis.
- Develop and optimize AI inference pipelines using GPU acceleration, CUDA, TensorRT, and ONNX.
- Deploy AI models on edge devices such as NVIDIA Jetson and integrate solutions with cloud platforms and enterprise applications.
- Develop video processing pipelines using OpenCV, GStreamer, and modern AI frameworks.
- Collaborate with Product, AI, Software Engineering, and Data teams to deliver scalable AI solutions.
- Monitor, optimize, and continuously improve AI model performance, accuracy, and reliability.
- Research emerging AI technologies and contribute to engineering best practices and innovation.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computer Engineering, or a related field.
- 3–6 years of experience in AI, Computer Vision, or Machine Learning application development.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Hands-on experience with OpenCV, video analytics, and computer vision model development.
- Experience with CUDA, TensorRT, ONNX, or GPU optimization techniques.
- Experience deploying AI models on NVIDIA Jetson or other edge computing platforms.
- Familiarity with Docker, REST APIs, Git, and cloud platforms (Azure, AWS, or GCP).
- Strong analytical, problem-solving, and communication skills.
