Senior Deep Learning Engineer Uplers

About Uplers

Uplers is on a mission to provide companies all over the globe with the best remote Indian talent to meet their hiring needs. 

We are making an impact in the remote hiring industry by breaking the geographical boundaries and helping companies hire the best of the best without having to worry about sourcing, vetting, retention or motivation of talent. 

In the past 9+ years, Uplers has grown to a family of 1000, serving 7000+ global clients in 52+ countries all across the globe. We measure our success through the people we connect with. We tackle the biggest obstacles that companies face when hiring talent to grow and scale their business by curating a pool of pre-vetted talent that offers quality and priority to our clients while we prioritise and focus on the talent they want to hire. 

We are the matchmakers of the professional world. So, whether you’re a company looking for the right talent or a talent looking for the right company, we got you covered!

Website
https://www.uplers.com/

Job Description

About the Role In this role, you will have the potential to define and shape the AI strategy for Indias 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 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 which will influence both our products and clients. Youll be expected to execute in the face of ambiguity, shifting priorities, and limited resources. Requirements: 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. 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 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 opensource ML projects is highly appreciated. Why Join Us Work on impactful projects leveraging cutting-edge AI technologies. Your work here wont 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. Note: Relocation bonus + Flights reimbursement.,