Building The Future of Transport Planning Industry Prague, Praha

Building The Future of Transport Planning Industry

**Who we need**:
Are you a seasoned Computer Vision Engineer with a passion for innovation? We’re on the lookout for someone like you to join our team. As part of our R&D efforts, you’ll drive the development of new features, optimize existing ones, and contribute to the future of our smart traffic and smart cities solution.
**Job description**:
- ** Algorithm Development and Optimisation**: Drive the design and refinement of computer vision algorithms for traffic monitoring, object detection, tracking, and behaviour analysis.
- ** NVIDIA stack**: Demonstrate proficiency in the NVIDIA toolchain, including DeepStream, Triton Inference Server, Metropolis and associated libraries for model optimisation and deployment.
- ** MLOps**: Collaborate with data scientists to streamline the machine learning operations pipeline. Facilitate model training, monitoring, and continuous improvement in the traffic data domain.
- ** Data-Driven Insights**: Extend your skills to extract predictions, correlations, and actionable insights from traffic data to enhance decision-making and system performance.
- ** Embedded System Expertise**: Leverage your deep understanding of embedded systems to ensure seamless integration and optimal performance of AI models.
**Requirements**:
- Hands-on experience developing and deploying computer vision solutions on embedded devices.
- In-depth knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Ultralytics)
- Familiarity with MLOps principles, best practices and tools
- Demonstrable experience in software delivery
- Skilled in C++ and Python programming languages
- Team player who won’t get afraid when the first issue occurs
- Fluent English (we speak Czech in the team, but communication with other departments and everything written is in English)
- Make sure to spend half of your working hours at the office
**What could be an advantage**:
- You’re organized and CV/AI is your life
- Embedded devices - Jetson units real experience
- Master’s degree in Computer Science, Electrical Engineering, or equivalent field.
- Strong analytical skills and an aptitude for working with traffic-related data
**What we offer**:
- ** Global Impact**: Our solution is deployed worldwide, and as a CV Engineer, your work will directly influence its success.
- ** Hands-On Experience**: Dive into real-world challenges, from cutting-edge algorithms to data pipelines and model deployment.
- ** Collaborative Environment**: Join a small but dynamic team where creativity and fun are encouraged.
**Benefits**:
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- **Trust to work independently**:Enjoy the freedom to work independently, backed by a culture of trust and support. Your ideas matter, and we believe in your ability to make a significant impact
- **Flexible working hours**:Life is dynamic, and so are we. Our flexible working hours accommodate your schedule, ensuring a healthy work-life balance
- **Team Spirit Beyond Work**: Engage in a variety of team activities and fun team-building events that strengthen our bonds and make every day enjoyable
- **Company’s stock plan**:Participate in the success of the company and share in its growth
- **Comfortable Workspace**: Our office is located in Prague, 2 min walk from metro Invalidovna; it’s designed to be cozy and comfortable. A place where you can be your most productive self
- **Top-Notch Tools**: Equip yourself with a high-end laptop, including a MacBook Pro, to enhance your work experience
- **Wellness Matters**: Prioritize your well-being with a Multi-Sport Card, granting you access to a range of fitness activities
- **Continuous Learning**: Invest in your professional development with our educational program. Grow your skills and stay ahead in your career
If you’re ready to make a difference and get your hands dirty solving complex problems, we’d love to hear from you!
**About us**:
We are the award-winning venture-backed startup operating in the smart city and artificial intelligence space, leading the way in traffic data collection and analysis.

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