Job
Description
Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work Mumbai (On-site), India Employment Type - Full Time Profile Computer Vision Tech Architect Preferred experience – 8 to 10 years The Role: We are looking for a skilled and experienced Computer Vision Tech Architect with expertise in designing and implementing advanced computer vision systems. You are responsible for overseeing the architectural aspects of projects, defining the technical vision, and ensuring alignment with organizational goals. This position involves a deep understanding of computer vision principles, machine learning, and software engineering, coupled with the ability to lead and mentor a team to deliver innovative and impactful solutions in the field of computer vision. Responsibilities: Technical Leadership : Lead a team of Computer Vision engineers and developers, providing technical guidance, mentoring, and fostering a collaborative environment. Driving the technical vision and strategy for application development, particularly in the areas of 3D object detection and multiple-camera feed processing. 3D Object Detection: Leveraging expertise in 3D object detection algorithms and methodologies to design and implement cutting-edge solutions. Collaborating with the research team to integrate the latest advancements in 3D object detection into practical, scalable applications. Multiple Camera Feed Processing : Designing and implementing systems for efficient processing and analysis of multiple camera feeds in real time. Optimizing algorithms and workflows to handle large-scale data from diverse camera sources. Technical Architecture : Developing and implementing the overall technical architecture for applications, ensuring scalability, reliability, and performance. Collaborating with cross-functional teams to integrate computer vision components into larger application ecosystems. Knowledge and experience in selecting, configuring, and optimizing hardware for an efficient product ecosystem. Experience in creating the entire Dev Ops setup required for application development with the ability to choose GPUs, Media Servers, etc. Broadcast Software Experience : Demonstrating experience working with broadcast software and understanding the unique challenges and requirements of the broadcast industry. Integrating solutions seamlessly with broadcast systems, ensuring compatibility and adherence to industry standards. Module-Level Thinking: Applying a modular and scalable approach to system design, breaking down complex tasks into manageable and reusable modules. Conducting thorough module-level thinking to enhance system flexibility, maintainability, and ease of future enhancements. Hardware Acceleration: Evaluating and implementing hardware acceleration solutions, such as GPUs or specialized processors, for optimizing applications. Collaborating with hardware engineers to ensure seamless integration between software and hardware components. Research and Development: Staying abreast of the latest trends, research, and advancements in application development, particularly in the domains of 3D object detection and camera feed processing. Contributing to R&D efforts to explore and implement innovative solutions, considering hardware constraints and opportunities. Collaboration and Communication: Collaborating with cross-functional teams, including computer vision and hardware engineers, software developers, and researchers, to ensure seamless deployment of applications. Communicating technical concepts effectively to both technical and non-technical stakeholders. Must-Have Qualifications: Bachelor’s/Master’s/Ph.D. degree in Computer Science, Electrical Engineering, or a related field. Total 8+ years’ experience with at least 3 years leading the technical architecture setup. 5-6 years of hands-on experience in integrating Computer Vision systems. Must know end-to-end technical architecture, handling large datasets and real-time processing pipelines. Strong programming skills in languages such as Python and C++ and familiarity with relevant frameworks (OpenCV, TensorFlow, PyTorch). Experience with hardware acceleration, GPU programming, and parallel computing. Preferred Qualifications: Proven experience in leadership and code reviews. Familiarity with DevOps, CI/CD pipelines, and cloud-based deployment Knowledge of hardware selection, configuration, and system optimization. Good to have experience in Broadcast software and an understanding of the broadcast industry's unique requirements. Application Method Apply online on this portal or on email at careers@speedmart.co.in
