Senior Deep Learning Engineer

2 weeks ago


Mumbai, Maharashtra, India Uplers Full time

About the Role

This role presents an opportunity to define and shape the AI strategy for India's first real estate ecosystem, encompassing developers, brokers, societies, and end customers. If you are excited about deep learning applications on a data science team and willing to take ownership of machine learning problems, this could be a good fit.

You will join an innovative team developing models that influence both products and clients. Expect to execute in ambiguous environments with 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.
  • Owning business outcomes/metrics with product managers, driven by data science models/algorithms.
  • Stay updated on the latest advances in ML research to incorporate beneficial state-of-the-art advancements.
  • Communicate 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 coding skills in Python and familiarity with libraries such as HuggingFace, OpenCV, and Scikit-Learn.
  • Solid understanding of 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 opensource ML projects is highly appreciated.
Why Join Us?
  • Work on impactful projects leveraging cutting-edge AI technologies.
  • Your work here won't sit in a sandbox — see your models deployed at scale, making a tangible difference in the real world.
  • Competitive compensation, perks, and a flexible, inclusive work environment.


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