Lead Software Engineer

Dellvas AI - Lead Software Engineer (Object Identification & Image/Text Generation) Dellvas AI, a leading innovator in Artificial Intelligence, is seeking a talented and passionate Lead Software Engineer to join our growing team. In this role, you will play a pivotal role in developing cutting-edge software that can identify objects from images, provide informative descriptions, and generate natural, realistic images and text descriptions. Responsibilities: Lead a team of software engineers in designing, developing, and implementing robust object identification software. Develop algorithms for object recognition using deep learning techniques (e.g., convolutional neural networks). Integrate natural language processing (NLP) to generate informative descriptions of identified objects. Design and implement frameworks for generating realistic images and corresponding text descriptions based on user input or identified objects. Oversee code quality, maintainability, and adherence to best practices. Collaborate with researchers and data scientists to ensure the software aligns with project goals. Stay up-to-date on the latest advancements in object identification, image/text generation, and AI research. Qualifications: Masters/PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Minimum 5+ years of experience in software engineering with a focus on AI and machine learning. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) techniques is a plus. Excellent communication, collaboration, and problem-solving skills. A passion for innovation and a drive to push the boundaries of AI technology. Perks & Benefits: Competitive salary package ranging from ₹15,00,000 to ₹50,00,000 annually (based on experience). Comprehensive health insurance coverage. Generous paid time off (PTO) and sick leave. Opportunity to work on cutting-edge AI projects with real-world impact. Collaborative and stimulating work environment with intellectual challenges. Continuous learning and development opportunities through conferences, workshops, and training programs.