Computer Vision Engineer

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.