Company Description
At Neural City, our vision is to enhance the liveability of Indian cities by revolutionizing city governance through technology. Neural City (www.neuralcity.in) is a bootstrapped startup focused on creating transformative solutions in the B2G (Business to Government) domain. We aim to enhance urban planning, management, and monitoring using cutting-edge technologies.
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​We are currently seeking a highly motivated Generative AI Intern to join our team and contribute to developing innovative solutions that classify and rate existing city infrastructure and services parameters, such as roads, footpath, cleanliness for smart monitoring systems.
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Role Description
As a Generative AI Intern, you will be involved in the development and testing of object detection and classification models. You will be focused on training, fine-tuning, and deploying efficient vision-language models (VLMs). The role offers an exciting opportunity to work with modern machine learning frameworks, as well as to gain hands-on experience with edge computing.
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Stipend
Tentatively between ₹5,000 to ₹10,000 per month.
Higher for candidates with suitable job and cultural fit.
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Main Responsibilities:
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Training and Testing of Object Detection & Classification Models
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Work on training and testing object detection and classification models for urban infrastructure, such as roads, pavements, cleanliness, and parking.
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Evaluate model performance on various metrics (accuracy, precision, recall, etc.) and optimize for efficiency and deployment on edge devices.
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Research & Development of Vision-Language Models (VLMs)
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Research and explore small, efficient Vision-Language Models (VLMs) suitable for deployment on edge devices.
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Fine-tune pre-trained VLMs on domain-specific datasets, particularly for urban infrastructure analysis, to improve performance and adapt to specific requirements.
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Fine-tune and deploy Vision-Language Models (VLMs) on local or edge devices with limited computational resources.
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Documentation & Reporting
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Maintain clear documentation of experiments, models, and results to communicate findings with the team.
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Present research findings and model performance to internal stakeholders, ensuring clarity and transparency.
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Prerequisites & Skills:
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Proficiency in Python and PyTorch for developing machine learning models.
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Hands-on experience with object detection and image classification models (e.g., Faster R-CNN, YOLO, EfficientDet).
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Familiarity with Generative AI, Vision-Language Models (VLMs), and the fine-tuning process of such models.
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Experience in edge computing and deploying models is an advantage (e.g., Raspberry Pi, NVIDIA Jetson, etc.).
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Knowledge of transfer learning, model optimization, and quantization techniques for edge deployment.
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Ability to work with large datasets and preprocess images for training and testing.
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Passion for working in the field of AI-powered smart city technologies and contributing to the development of sustainable urban solutions.
Nice to Have:
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Familiarity with Transformers and related architectures such as CLIP (Contrastive Language-Image Pre-training) or ViLT (Vision-and-Language Transformer).
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Understanding of efficient neural network architectures designed for edge devices, such as MobileNet, EfficientNet, and Tiny YOLO.
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Familiarity with cloud-based platforms (AWS, Google Cloud, or Azure) for model training and deployment.
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Experience with AI tools and libraries for model monitoring and evaluation.
Why Join Us?
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Gain hands-on experience working with cutting-edge AI technologies in the field of smart cities and urban infrastructure.
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Be part of an innovative company shaping the future of urban monitoring using AI.
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Access to mentorship and opportunities for growth in the field of Generative AI, computer vision, and machine learning.​
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How to Apply: Please send your resume and any relevant portfolio or GitHub repositories showcasing your work in AI/ML to info@neuralcity.in or WhatsApp us on 9559 107 589.