Inovartech
Senior Vision AI Engineer
Skills
1 month ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
16 September 2026
What they need
Job Summary
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. Location: Hyderabad | WFO | Experience: 6+ years | Full Time.
Key Responsibilities
- 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.
- 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.
- 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.
- Architect scalable CV systems using OOAD, SOLID, and design patterns.
- Design real-time pipelines with clear dataflows and memory management.
- 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 and Qualifications
- 6+ 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.
- Experience in ADAS, robotics, autonomous systems, or industrial vision.
- Knowledge of MLOps, cloud deployment, and containerization.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Other offers great for you!
These companies are also looking for great profiles
Cherrypick
Administrateur / Ingénieur IA & Ops (LLMOps)
550
Freelance
Paris, France
Hybrid
Skills
1 day ago
Quick apply
Cherrypick
Ingénieur IA Générative / LLMOps
560
Freelance
Paris, France
Onsite, Hybrid
Skills
1 day ago
Quick apply
EBM Consulting
Ingénieur IA
Freelance
Remote
Skills
20 hours ago
Quick apply