Computer Vision Engineer

Experience

4+ years of hands-on experience in Computer Vision, AI/ML model development, and production deployment

Role Overview

We 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.

Key Responsibilities
Design, develop, and deploy computer vision solutions for image and video data
Implement, fine-tune, and optimize object detection models (YOLO, SSD, Faster R-CNN, etc.)
Build real-time inference pipelines with low latency and high reliability
Collaborate with backend teams to expose models via APIs and services
Own production deployment across cloud, on-prem, and edge devices
Optimize models for performance, scalability, and cost efficiency
Lead technical discussions, guide the team, and review code/model designs
Maintain documentation for models, deployments, and system architecture

Required Technical Skills

Computer Vision & AI
Solid fundamentals in Computer Vision and Deep Learning




Hands-on experience with object detection, tracking, and video analytics
Proficiency with OpenCV for image and video processing

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

Programming & Frameworks
Solid proficiency in Python
Experience with PyTorch or Tensor Flow
Familiarity with dataset annotation, versioning, and experiment tracking

Deployment & Infrastructure
Proven experience deploying AI models into production environments
Robust understanding of GPU-based inference and acceleration
Experience with edge AI devices (e.g., NVIDIA Jetson or similar)
Knowledge of model optimization tools (ONNX, TensorRT, quantization, pruning)
Experience with Docker and containerized deployments
Exposure to CI/CD pipelines for ML or MLOps workflows

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or related fields

📌 Computer Vision Engineer Kochi (India)
🏢 Difinity Digital
📍 India