Lead Computer Vision AI Engineer
Job Description & How to Apply Below
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, Tensor Flow, 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 Tensor
RT, 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/Res Net/UNet), OpenCV, and classical CV.
- Experience deploying on Jetson/DSP/NPU hardware.
- Solid understanding of design patterns and system engineering.
Nice-to-Have
- Experience in ADAS, robotics, autonomous systems, or industrial vision.
- Knowledge of MLOps, cloud deployment, and containerization.
Role Note
This is a senior individual contributor role with leadership responsibility. Applicants must have
hands-on CV/DL experience and prior experience leading modules or mentoring engineers.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×