Computer Vision Engineer
Is there a Zenika in you?
Let’s talk skills and passion first.
You thrive at the intersection of computer vision, AI, and impactful real-world use cases. Whether it’s building smart surveillance systems or solving complex video analytics problems, you're always seeking elegant, scalable solutions. You bring hands-on experience with detection, recognition, and tracking, and you get excited about tools like OpenCV, DeepStream, and YOLO.
Your Role as a Zenika Consultant:
As a consultant, you’ll work on strategic client engagements, including high-impact government contracts. You will develop robust computer vision pipelines and lead innovation in edge AI solutions. You’ll work alongside client teams to:
- Design, develop, and deploy computer vision models and algorithms for real-time video stream analysis.
- Implement methods for real-time object detection, tracking, and pose estimation of people and assets within a facility environment.
- Develop logic for anomaly detection related to people safety and security, such as unauthorized access, unsafe behavior, or unusual crowd movements.
- Process and integrate large datasets from video streams and other sensors into a digital twin framework.
- Build the core temporal and spatial inference engine, translating 2D video data into accurate 3D representations and events for the digital twin.
- Collaborate with the UI/UX team to define and deliver the data structure required for their digital twin visualization interface.
- Analyze historical data to identify trends, improve model accuracy, and support predictive modeling capabilities.
- Write clean, well-documented, and efficient code in Python.
- Participate in code reviews, contribute to architectural discussions, and mentor junior team members if required.
What You Bring
Must Haves:
- Experience: 3+ years of professional experience in software development, with a strong focus on computer vision and video analytics.
- Core CV/ML & Python: Strong proficiency in Python and the ML lifecycle with command of major deep learning frameworks (PyTorch or TensorFlow) and core libraries (OpenCV, NumPy, pandas). Hands-on experience with modern CV models (e.g., YOLO, Mask R-CNN, EfficientDet) for object detection, tracking, feature extraction and segmentation.
- Real-Time 2D-3D Translation: Solid foundation in computer graphics, including practical understanding of Scene Graphs, 3D Geometry, and 2D/3D Projection & Transformations.
- Performance & Large-Scale Data: Proven experience processing and managing large-scale, high-velocity datasets from multiple sources and real-time systems.
- Advanced Visualization: Prior experience with real-time simulation, or 3D visualization engines (e.g., Unity, Unreal Engine, NVIDIA Omniverse).
- Physical-to-Digital Workflows: Experience with 3D Reconstruction, including the handling and processing of point clouds and photogrammetry.
- Extended Sensor Integration: Experience integrating and processing data from multiple sensor types beyond cameras (e.g., LiDAR, IoT sensors).
- Deployment & MLOps: Experience with cloud platforms (AWS, Azure, GCP) for model deployment, and a solid understanding of MLOps practices, containerization (Docker), and orchestration (Kubernetes). Knowledge of real-time messaging/streaming protocols and distributed computing. Experience optimizing GPU usage using CUDA programming and parallel computing.
- Domain Context & Secondary Skills: Background or strong interest in industrial safety, security protocols, or smart facility management, particularly in public safety applications of AI. Knowledge of C++ is a plus for performance-critical components.
- Advanced Techniques: Familiarity with generative AI for creating synthetic data to augment training sets.
- React Frontend Development: Proficient in React.js and Typescript for building responsive, modular user interfaces.
About Zenika
Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship. We are passionate technophiles advising clients with deep expertise in open-source tech and modern solutions.
Why Join Zenika?
- Work with a global client base across 11 locations, benefiting from over 28,000 Zenika-led training sessions
- Partner with tech giants like Google Cloud and Scrum.org, and engage in research, open-source contributions, and conferences outside client projects
- Participate in Zenika tech conferences (TechnoZaures) to learn, share, and grow together
- Hybrid work arrangement
- 20 days of annual leave + up to 5 LEAP(Learning, Education, Advancement, Progress) days
- Dedicated Learning & Development (L&D) budget to support your growth
- Flexible benefits package to cater to your well-being and lifestyle needs
- Comprehensive international medical insurance package
Ready to code your story with us? Apply NOW!
- Department
- Data & Analytics
- Locations
- Singapore
- Remote status
- Hybrid
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