Job Description

Project Role :

Custom Software Engineer

Project Role Description :

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills :

Computer Vision

Good to have skills :

Python (Programming Language), Machine Learning, Generative AI

Minimum

3

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: We are seeking an experienced AI/ML professional with deep expertise in real-time video analytics, computer vision, and the NVIDIA Metropolis ecosystem. The ideal candidate will have hands-on experience in building AI pipelines, optimizing CV models, and deploying them on NVIDIA edge and cloud platforms using tools such as DeepStream, TAO Toolkit, and TensorRT. Roles & Responsibilities: -Design and implement end-to-end AI pipelines for real-time video analytics using NVIDIA Metropolis. -Build, fine-tune, and optimize computer vision models for object detection, tracking, and behavior analysis using the NVIDIA TAO Toolkit. -Deploy and manage cloud and edge-based AI systems across NVIDIA hardware. -Optimize inference performance leveraging TensorRT and DeepStream SDK. -Ensure high-throughput, low-latency processing for live video streams. -Collaborate with cross-functional teams to integrate AI-driven insights into business workflows. Professional & Technical Skills: Primary Skill -AI/ML - Computer Vision & NVIDIA Metropolis Ecosystem Must-Have Skills: -Strong expertise in NVIDIA Metropolis and DeepStream SDK. -Hands-on experience with NVIDIA TAO Toolkit for computer vision model training, customization, and optimization. -Solid understanding of Computer Vision, including: o Object Detection o Object Tracking o Behavior/Event Analysis -Experience deploying AI solutions on edge devices or cloud platforms. -Strong programming background in Python (and/or C++). Good-to-Have Skills: -Experience using TensorRT for inference acceleration. -Familiarity with Docker and containerized deployments for edge systems. -Exposure to streaming analytics, distributed processing, or monitoring dashboards. Additional Information: -Experience with NVIDIA hardware platforms (Jetson, GPU Edge servers) is a plus. -Prior work in surveillance, smart cities, retail analytics, or industrial automation is highly desirable. -Ability to work in fast-paced environments with evolving AI technologies. -Strong communication and documentation skills for cross-team collaboration. - This position is based at our Bengaluru office. - A 15 years full time education is required.




15 years full time education