Senior Deep Learning Engineer

In this role, you have the potential to define and shape the AI strategy for India's first real estate ecosystem, encompassing developers, brokers, societies, and most importantly, the end customers. If you are enthusiastic about being the go-to person for deep learning applications on a data science team and are ready to take end-to-end ownership of all machine learning challenges, this role is a great fit for you. You will be part of an innovative team that develops models influencing both products and clients. Your ability to execute in uncertain situations, adapt to changing priorities, and work with limited resources will be crucial. Responsibilities include: - Architecting, developing, and deploying advanced deep learning models using PyTorch or TensorFlow for cutting-edge applications like computer vision, natural language processing, and generative AI. - Optimizing model performance through techniques such as model quantization, distillation, transfer learning, and multi-GPU training. - Collaborating with product managers to drive business outcomes/metrics affected by data science models/algorithms. - Staying updated on the latest ML research advancements to incorporate state-of-the-art techniques where beneficial. - Presenting results and ideas to key decision-makers. Requirements: - 2+ years of hands-on experience in data science, machine learning, or deep learning. - Proficiency in PyTorch or TensorFlow; strong Python coding skills; familiarity with libraries like HuggingFace, OpenCV, and Scikit-Learn. - Solid understanding of mathematics relevant to data science, including statistics, probability, and linear algebra. - Experience with cloud platforms (AWS, GCP, Azure) is a plus. - Prior publication record in top-tier ML/AI conferences or contributions to open-source ML projects are highly valued. Join us to: - Work on impactful projects leveraging cutting-edge AI technologies. - Witness your models deployed at scale, creating a tangible difference in the real world. - Enjoy competitive compensation, perks, and a flexible, inclusive work environment. Note: Relocation bonus + Flights reimbursement.,