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Full Stack Developer (Computer Vision)
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IDEMIA
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Join to apply for the
Full Stack Developer (Computer Vision)
role at
IDEMIA
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Purpose
This role transforms requirements into software according to design, to maximize business value and customer satisfaction.
Job Description
Purpose
This role transforms requirements into software according to design, to maximize business value and customer satisfaction.
Key Missions
Uses programming, scripting and database languages to write software code that meets requirements and that optimizes software performances
Identifies existing software components, libraries and frameworks to reuse in the solutions
Applies knowledge of software development best practices, including coding standards, secure coding, code reviews, source control management, build processes, testing, and operations
Contributes to requirement (functional and non-functional) analysis and estimations
Supports software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements
Builds up software structure including functions, design patterns, layers, etc.
Documents and demonstrates solutions by developing code comments, layouts, diagrams and charts
Designs and codes autonomously complex functions and full modules, within agreed quality, deadline and cost; asking for support of experienced peer when needed
Performs code reviews and basic troubleshooting
Participates in workshop with customer and external parties
Coaches less experienced software developers
Profile & Other Information
We are seeking a skilled AI Developer with expertise in computer vision to lead the design, development, and deployment of object/human detection and analysis solutions. The ideal candidate has experience building models that work reliably in real-world environments (e.g., varying lighting, occlusions, camera angles) and can optimize them for deployment on edge or cloud platforms.
Responsibilities
Design and implement computer vision models for real-time human detection and people counting.
Train, test, and validate machine learning models using large datasets and video feeds.
Work with multi-modal data (RGB, IR, depth) from various camera sources.
Optimize models for deployment on edge devices or in the cloud (e.g., NVIDIA Jetson, AWS, On-camera SOCs, etc.).
Collaborate with hardware and software teams to integrate vision models into production systems.
Monitor system performance and continuously improve model accuracy and efficiency.
Stay updated with the latest research and techniques in computer vision and AI.
Requirements
Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or a related field.
3+ years of hands-on experience in computer vision and deep learning.
Proficiency with Python and libraries such as OpenCV, PyTorch, TensorFlow, or similar.
Experience with object detection algorithms (YOLO, Faster R-CNN, SSD, etc.).
Familiarity with real-time video processing and tracking (e.g., Deep SORT, ByteTrack).
Knowledge of edge deployment strategies and hardware acceleration (e.g., TensorRT, ONNX).
Strong problem-solving skills and the ability to work independently.
Preferred Qualifications
Experience with crowd analysis, density estimation, or re-identification.
Understanding of privacy-preserving AI (e.g., anonymization techniques).
Previous work with surveillance or retail analytics systems.
Familiarity with tools like NVIDIA DeepStream or OpenVINO.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Information Services and IT Services and IT Consulting
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