
InovarTech provides AI solutions including Generative AI, Agentic AI, and Vision AI to enterprises across various industries such as Manufacturing, Retail, Fintech, Healthcare, Supply Chain, and…

InovarTech provides AI solutions including Generative AI, Agentic AI, and Vision AI to enterprises across various industries such as Manufacturing, Retail, Fintech, Healthcare, Supply Chain, and…
Senior Vision AI Engineer – Lead (IC + Leadership Role)
Location: Hyderabad (Work From Office)
Experience: 7–10 years
About the Role
We are looking for a Senior Vision AI Engineer who can operate as a technical lead while remaining
hands-on as an IC. You will architect, build, and deploy end-to-end Computer Vision & Deep
Learning solutions and guide junior engineers while independently driving complex modules.
Key Responsibilities
1. Technical Leadership (IC + Lead)
Lead vision AI modules end-to-end while remaining deeply hands-on.
Mentor junior engineers through code reviews and technical guidance.
Influence architectural decisions and own critical components of the CV pipeline.
2. Computer Vision & Deep Learning Engineering
Design and develop end-to-end CV pipelines.
Build and deploy models for object detection, tracking, segmentation, and classification.
Train and evaluate DL models using PyTorch, TensorFlow, ONNX.
Implement classical CV algorithms and video analytics.
3. Edge AI & Deployment
Deploy optimized models on NVIDIA Jetson, Qualcomm QRide, GPU/DSP/NPU accelerators.
Work with TensorRT, ONNX Runtime, quantization, pruning, and optimization.
Develop high-performance C++ and Python modules for embedded CV applications.
4. System Design & Architecture
Architect scalable CV systems using OOAD, SOLID, and design patterns.
Design real-time pipelines with clear dataflows and memory management.
Collaborate with hardware, firmware, backend, and product teams.
5. Deployment, Performance & MLOps
Build production-ready inference pipelines and benchmarking systems.
Work with Docker, CI/CD pipelines, and Git repositories.
Support deployments across global client environments.
Required Skills & Experience
7–10 years of experience with 5+ years in Computer Vision/Deep Learning.
Strong coding in C++ (11/14/17) and Python.
Experience with CNNs (YOLO/ResNet/UNet), OpenCV, and classical CV.
Experience deploying on Jetson/DSP/NPU hardware.
Solid understanding of design patterns and system engineering.
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