Data Scientist | 5 to 8 years | Gurgaon | Noida

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. As an Edge AI Data Scientist, you will be responsible for designing, developing, and validating machine learning models, particularly in the domain of computer vision, for deployment on edge devices. This role entails working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. Collaboration with embedded systems and AI engineers is essential to ensure that models are lightweight, efficient, and hardware-compatible. To be successful in this role, you should have a Bachelor's or Master's degree in Data Science, Computer Science, or a related field, along with at least 3 years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference, familiarity with video/image datasets, and deep learning model training are also required. Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI is essential. Additionally, you should have experience with model optimization techniques (quantization, pruning, etc.) for edge devices, deployment tools like TensorFlow Lite, ONNX, or OpenVINO, and a strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms, processing data from camera feeds or embedded image sensors, strong problem-solving skills, and the ability to work collaboratively with cross-functional teams are all important skills for this role. Your responsibilities will include developing and training computer vision models tailored for constrained edge environments, analyzing camera and sensor data to extract insights and build vision-based ML pipelines, optimizing model architecture and performance for real-time inference on edge hardware, validating and benchmarking model performance on various embedded platforms, collaborating with embedded engineers to integrate models into real-world hardware setups, and staying up-to-date with state-of-the-art computer vision and Edge AI advancements. At Capgemini, we value flexible work arrangements to provide support for maintaining a healthy work-life balance. Our focus is on your career growth, offering a variety of career growth programs and diverse professions to support you in exploring a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a team of over 340,000 members in more than 50 countries, Capgemini leverages its 55-year heritage to deliver end-to-end services and solutions utilizing strengths from strategy and design to engineering, with market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,