Senior Computer Vision Engineer ID72408

Description

**About the role** We are looking for a **Senior Computer Vision Engineer** to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine\-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices. **What you will do** * Own the applied model development process across computer vision, AI/ML, and broader data science use cases; * Translate complex business problems into viable, practical, and scalable AI/ML solutions; * Evaluate various model options, train and fine\-tune selected architectures, and rigorously analyze model performance; * Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis; * Build and maintain models for time\-series forecasting, anomaly detection, regression, clustering, and general data analysis; * Apply practical knowledge of real\-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production. **Must haves** * **3 to 5 years of professional experience** in Computer Vision, Machine Learning, Data Science, or a related field; * **Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline** (or equivalent practical experience); * Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite); * Strong, production\-level proficiency in **Python**; * Deep hands\-on experience with leading deep learning frameworks, specifically **PyTorch** and/or **TensorFlow**; * Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis; * Solid understanding of broader ML and data science techniques (time\-series modeling, forecasting, anomaly detection, regression, and clustering); * Upper\-intermediate English level. **Nice to haves** * Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups; * Familiarity with deploying models on edge devices; * Strong understanding of how physical and real\-world constraints impact data quality, model training, and inference. **Perks and benefits** * **Professional growth:** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * **Competitive compensation:** We match your ever\-growing skills, talent, and contributions with competitive USD\-based compensation and budgets for education, fitness, and team activities. * **A selection of exciting projects:** Join projects with modern solutions development and top\-tier clients that include Fortune 500 enterprises and leading product brands. * **Flextime:** Tailor your schedule for an optimal work\-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. Job Type: Full\-time Work Location: Remote