Software Engineer - Computer Vision

Description

Job Summary: We are seeking a professional with experience in Computer Science, Software Engineering, or related fields, focused on development using advanced Python and Deep Learning. Key Highlights: 1. Experience with advanced Python, OpenCV, and Deep Learning frameworks 2. Knowledge of software architecture, microservices, and cloud computing 3. Desirable experience in MLOps and urban geotechnology Description: Apply quickly via email: Requirements and Qualifications: Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or related fields Master's degree in Artificial Intelligence, Computer Vision, or related fields is desirable Basic English Advanced Python, OpenCV, PyTorch/TensorFlow, SQL, NoSQL, Docker/Kubernetes, YOLO, REST APIs, cloud computing (AWS, GCP, or Azure). Desirable: * Advanced knowledge of Python, OpenCV, and Deep Learning frameworks (PyTorch/TensorFlow). * Proficiency in advanced deep learning techniques, including CNNs, visual Transformers (Vision Transformers, CLIP, etc.), and semantic segmentation models. * Experience in software architecture, microservices, containers (Docker/Kubernetes), and cloud computing. * Experience with relational and geospatial databases (PostgreSQL/PostGIS). * Knowledge of geospatial image processing (satellite, LiDAR, photogrammetry, or GIS) will be highly valued. * Experience in MLOps: model monitoring, versioning, and retraining. * Background in smart city solutions, urban geotechnology, or security. Benefits: Meal Allowance, Transportation Voucher, Language School Discounts, Life Insurance, Dental Plan, Medical Plan, Day Off, Gym Partnership, Optical Partnership, Educational Institution Partnerships, Flexible Working Hours, Banked Hours, Senff Card Partnership, Internal Training and Workshops, Refer a Friend!, Pharmacy Discounts, Performance Bonus, Gifts (yes, because we are that kind of company!), Relaxed environment full of challenges, SESC Benefits, SPA Partnership, Zenklub, Quick Massage Working Hours: Business hours, Monday to Friday (flexible schedule) Skills: Education: Bachelor's Degree - Computer Science, Electrical Engineering, Computer Engineering, Software Engineering - Completed Technical Skills: REST APIs, Cloud Computing, Docker/Kubernetes, OpenCV, Office Suite, PyTorch/TensorFlow, Python, SQL, NoSQL 2511170202461813771