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

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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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