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Senior Vision AI Engineer

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Onsite

Senior Vision AI Engineer

Inovartech

Senior Vision AI Engineer

Skills

Deep LearningDockerPythonPyTorchTensorFlowData AnalysisAI

1 month ago

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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.

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