Job DescriptionComputer Vision Engineer
nExperience
n4+ years of hands-on experience in Computer Vision, AI/ML model development, and production deployment
nRole Overview
nWe are looking for a skilled Computer Vision Engineer who can design, develop, deploy, and lead real-world AI solutions. The role involves building image/video analytics systems, integrating LLM-powered components, and taking ownership of end-to-end deployment across cloud, on-prem, and edge environments. The ideal candidate should also demonstrate technical leadership and mentoring capabilities.
nKey Responsibilities
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Design, develop, and deploy computer vision solutions for image and video datan
Implement, fine-tune, and optimize object detection models (YOLO, SSD, Faster R-CNN, etc.)n
Build real-time inference pipelines with low latency and high reliabilityn
Collaborate with backend teams to expose models via APIs and servicesn
Own production deployment across cloud, on-prem, and edge devicesn
Optimize models for performance, scalability, and cost efficiencyn




Lead technical discussions, guide the team, and review code/model designsn
Maintain documentation for models, deployments, and system architecturen

nRequired Technical Skills
nComputer Vision & AI
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Robust fundamentals in Computer Vision and Deep Learningn
Hands-on experience with object detection, tracking, and video analyticsn
Proficiency with OpenCV for image and video processingn

nLLM & Generative AI
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Experience working with Large Language Models (LLMs)n
Knowledge of integrating CV outputs with LLMs (multimodal pipelines, RAG, AI agents, etc.)n
Familiarity with LLM APIs, prompt engineering, and inference optimizationn
Understanding of real-world LLM deployment constraints (latency, cost, scaling)n

nProgramming & Frameworks
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Solid proficiency in Pythonn
Experience with PyTorch or TensorFlown
Familiarity with dataset annotation, versioning, and e

📌 Computer Vision Engineer Ernakulam
🏢 Difinity Digital
📍 Ernakulam