Computer Vision Engineer 👁️‍🗨️🐾 Key Responsibilities: Lead innovation in state-of-the-art computer vision algorithms for advanced pet care applications 🚀 Manage the entire machine learning lifecycle, including: Developing end-to-end data processing pipelines 🔄 Designing data collection strategies 📊 Implementing model training, deployment, and monitoring processes 🛠️ Ensuring continuous improvement based on real-world performance 📈 Optimize computer vision models for our resource-constrained embedded device 💻 Develop prototypes for future AI-driven pet care experiences 🔮 Oversee partnerships with AI research institutes 🤝 Develop and maintain high-quality, well-documented code 📝 Work closely with data engineers and software engineers for seamless integration 🤖 Represent the company's AI expertise at industry events 🎤 Required Skills and Experience: Master's degree or PhD in Computer Science, Electrical Engineering, or related field 🎓 Proficiency in Python 🐍 Deep understanding of computer vision fundamentals 👁️ Extensive experience with deep learning frameworks (PyTorch, TensorFlow) 🧠 Experience in optimizing ML models for resource-constrained environments 🔧 Background in data pipeline development and management 📊 Familiarity with embedded Linux systems 🐧 Solid understanding of software engineering best practices 💻 Demonstrated ability to lead technical projects 👨‍💼👩‍💼 Strong analytical and problem-solving skills 🧩 Excellent communication skills 🗣️ Plus Points: Experience in pet-related technology 🐾 Passion for improving animal welfare through technology 💖 Knowledge of IoT and edge computing 📡 What We Offer: Opportunity to work on innovative pet care technology 🐱🐶 Autonomy to shape technical direction 🚀 Influence on a globally recognized product 🌍 Diverse technical challenges 🧠 Professional growth opportunities 📈 Dynamic team environment 👥 Potential for equity options 💰 Join us at Flappie Technologies and help us create the purr-fect future for cats and their humans! 🐱🚀 Applications are open until 21st of July. Applications to: [email protected] (incl. CV and foto)