Product Manager (Vision AI)

Job Summary

Senior Vision AI Engineer;

Location: Hyderabad | WFO | Experience: 6+ years | Full Time;

Role Overview

We are seeking a highly skilled and seasoned Tech Lead with expertise in .Net Full Stack and Azure development, backed by an impressive 6 - 8 years of hands-on experience. The ideal candidate will possess a demonstrable track record of successful project delivery and innovation, showcasing their proficiency in leading technical teams to achieve excellence. In addition to their extensive experience, we are looking for an individual with a keen ability to drive initiatives forward, leveraging their strategic thinking and problem-solving skills to navigate complex technological landscapes. As a Tech Lead, this candidate will play a pivotal role in shaping and implementing cutting-edge solutions, contributing to the growth and success of our technology initiatives.

Key Responsibilities

• Lead vision AI modules end-to-end while remaining deeply hands-on.
• Strong expertise in Service Bus, Event Hubs, Azure Functions, Data Lake, Azure Synapse, Azure Data Explorer, Azure Data Factory.
• Working experience in Microservices, Containerization (Docker) and Kubernetes, Azure Storage, Cosmos DB, Web App, Logic Apps, Azure Integration Services, Azure API Management.
• Strong understanding of Design Patterns, OOPs concepts, Design Principles.
• Strong experience in writing Unit and Integration Tests.
• Good working experience in Angular, React, Razor and Frontend technologies like HTML, CSS, Java Script.
• 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 & 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.
• Troubleshooting and performance optimization of application and database. Knowledge of WinDbg, PerfMon and SQL Profiler is required.

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.