AI Deep Learning Specialist

Role Overview: In this role, you will have the potential to define and shape the AI strategy for India's first real estate ecosystem of developers, brokers, societies, and most importantly, people like you -the end customer! If you are excited about the prospect of being the go-to person for deep-learning applications on a data science team and are willing to take end-to-end ownership of all machine-learning problems, this is already a good fit! You will get to join an innovative team that develops models that will influence both our products and clients. You'll be expected to execute in the face of ambiguity, shifting priorities, and limited resources. Key Responsibilities: - Architect, develop, and deploy advanced deep learning models using PyTorch or TensorFlow for cutting-edge applications in areas such as computer vision, natural language processing, and generative AI. - Optimize model performance with state-of-the-art techniques like model quantization, distillation, transfer learning, or multi-GPU training. - Along with product managers, own the business outcomes/metrics that the data science model/algorithm drives. - Stay abreast of the latest advances in ML research to incorporate state-of-the-art advancements wherever beneficial. - Communicate results and ideas to key decision-makers. Qualification Required: - 7+ years of hands-on experience in data science, machine learning, or deep learning. - Proficiency in PyTorch or TensorFlow; strong coding skills in Python and familiarity with libraries such as HuggingFace, OpenCV, and Scikit-Learn. - Solid understanding of the mathematics related to data science - statistics, probability, linear algebra, etc. - Experience with cloud platforms (AWS, GCP, Azure) is a plus. - Existing publication record in top-tier ML/AI conferences or contributions to open-source ML projects is highly appreciated. Role Overview: In this role, you will have the potential to define and shape the AI strategy for India's first real estate ecosystem of developers, brokers, societies, and most importantly, people like you -the end customer! If you are excited about the prospect of being the go-to person for deep-learning applications on a data science team and are willing to take end-to-end ownership of all machine-learning problems, this is already a good fit! You will get to join an innovative team that develops models that will influence both our products and clients. You'll be expected to execute in the face of ambiguity, shifting priorities, and limited resources. Key Responsibilities: - Architect, develop, and deploy advanced deep learning models using PyTorch or TensorFlow for cutting-edge applications in areas such as computer vision, natural language processing, and generative AI. - Optimize model performance with state-of-the-art techniques like model quantization, distillation, transfer learning, or multi-GPU training. - Along with product managers, own the business outcomes/metrics that the data science model/algorithm drives. - Stay abreast of the latest advances in ML research to incorporate state-of-the-art advancements wherever beneficial. - Communicate results and ideas to key decision-makers. Qualification Required: - 7+ years of hands-on experience in data science, machine learning, or deep learning. - Proficiency in PyTorch or TensorFlow; strong coding skills in Python and familiarity with libraries such as HuggingFace, OpenCV, and Scikit-Learn. - Solid understanding of the mathematics related to data science - statistics, probability, linear algebra, etc. - Experience with cloud platforms (AWS, GCP, Azure) is a plus. - Existing publication record in top-tier ML/AI conferences or contributions to open-source ML projects is highly appreciated.