Computer Vision Engineer (Kotlin)

Trinity Consulting Services (“TRINITY”)

4 years

0 Lacs

India

Posted:2 months ago| Platform:

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Skills Required

vision kotlin development design data algorithms tracking recognition mobile android iot integration ml inference analyze video test support electrical engineering processing learning tensorflow pytorch opencv monitoring analytics communication collaboration aws gcp azure training vr ai

Work Mode

On-site

Job Type

Contractual

Job Description

We are looking for Computer Vision Engineers with strong Kotlin development experience and a deep understanding of retail-specific computer vision use cases . You will help design and build intelligent, real-time vision systems to transform the retail experience—enhancing customer interaction, optimizing store operations, and unlocking data-driven insights. 🧠 Experience: 4+ Years | Key Responsibilities: Develop computer vision algorithms for object detection, tracking, and recognition in retail scenarios. Build and maintain Kotlin-based applications that integrate vision models with mobile or edge platforms (Android/IoT). Collaborate with product managers, data scientists, and backend engineers for seamless integration. Optimize ML models for real-time inference on edge devices (e.g., Jetson Nano, Raspberry Pi, Android). Analyze large-scale image/video data from stores to derive meaningful business insights. Own the end-to-end SDLC : design, develop, test, deploy, and support. Required Skills & Qualifications: Bachelor’s/Master’s in Computer Science, Electrical Engineering , or related fields. 3+ years of experience in computer vision and image processing . Strong hands-on experience in Kotlin , ideally for Android or cross-platform development . Solid knowledge of deep learning frameworks : TensorFlow, PyTorch, OpenCV. Demonstrated experience deploying ML models on edge platforms (e.g., Android apps, Jetson Nano, Raspberry Pi). Must have exposure to retail-focused vision use cases : shelf monitoring, customer behavior analytics, automated checkout. Strong problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure) for training and deploying models. Knowledge of MLOps practices and CI/CD pipelines . Familiarity with AR/VR or 3D vision solutions. Open-source contributions in computer vision or mobile AI . Show more Show less

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