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:

• 3+ years of professional experience in software development, with a strong focus on computer vision and video analytics.
• Proven experience working on large-scale data processing and real-time systems.
• Experience in the full machine learning lifecycle, from data acquisition and annotation to model training, evaluation, and deployment. 
• Python: Expert-level proficiency in Python development.
• Computer Vision & AI/ML: Deep understanding and hands-on experience with modern computer vision models for object detection (e.g., YOLO, Mask R-CNN, EfficientDet), tracking, and segmentation.
• AI/ML Frameworks: Strong command of at least one major deep learning framework (PyTorch or TensorFlow).
• Core Libraries: Extensive experience with fundamental libraries like OpenCV, pandas, NumPy, and Matplotlib.
• Computer Graphics & 3D: Solid foundation in computer graphics, including a practical understanding of:
• Scene Graphs: Experience in organizing and manipulating complex 3D scenes.
• 3D Geometry: Knowledge of 3D vectors, matrices, and coordinate systems.
• 2D/3D Projection & Transformations: The ability to translate between 2D camera images and the 3D world space.
• Data Handling: Experience processing and managing large-scale, high-velocity datasets from multiple sources.
• GPU & Parallel Computing: Experience with CUDA programming and parallel computing for optimizing GPU usage.

• Digital Twin & Simulation: Prior experience with digital twin platforms, real-time simulation, or 3D visualization engines (e.g., Unity, Unreal Engine, NVIDIA Omniverse). Knowledge of virtual simulation architectures and entity component systems.
• Sensor Fusion: Experience integrating and processing data from multiple sensor types beyond cameras (e.g., LiDAR, IoT sensors).
• 3D Reconstruction: Experience with physical-to-digital workflows for creating digital twin assets, particularly the handling and processing of point clouds, photogrammetry, and 3D reconstruction.
• Generative AI & Synthetic Data: Familiarity with generative AI for creating synthetic data to augment training sets.
• Cloud & MLOps: Experience with cloud platforms (AWS, Azure, GCP) for model deployment, and a solid understanding of MLOps practices, including containerization (Docker) and orchestration (Kubernetes).
• Programming Languages: Knowledge of C++ is a plus, particularly for performance-critical components.
• Real-Time Data: Experience with real-time messaging and streaming protocols. Knowledge of distributed computing for inference runtimes.
• Specialized Knowledge: A background or strong interest in industrial safety, security protocols, or smart facility management, particularly in public safety applications of AI.
• Communication: Excellent communication skills and a collaborative mindset, comfortable working with cross-functional teams.

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!