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                    Mathematical Science Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                <p><p>As a Data Scientist specializing in Computer Vision at First Living Spaces, you will play a crucial role in shaping the AI strategy for India's first comprehensive real estate ecosystem.
</p><p><br/></p><p>This role involves close interaction with developers, brokers, societies, and most importantly, our end customers, offering a unique opportunity to impact the real estate landscape  :</b><br/><br/>- Design, develop, and deploy sophisticated deep learning models using frameworks like PyTorch or TensorFlow, focusing on applications in computer vision, natural language processing, and generative AI.<br/><br/></p><p>- Optimize AI model performance utilizing advanced techniques such as quantization, distillation, transfer learning, and multi-GPU training.<br/><br/></p><p>- Collaborate with product managers to ensure alignment of data science initiatives with business objectives and measurable outcomes.<br/><br/></p><p>- Stay updated with the latest developments in machine learning and AI research to integrate cutting-edge technology into our projects.<br/><br/></p><p>- Effectively communicate complex model results and strategic insights to key stakeholders.<br/><br/><b>Requirements :</b><br/><br/>- Minimum of 10+ years of hands-on experience in data science, machine learning, or a related field.<br/><br/></p><p>- Proficient in deep learning frameworks such as PyTorch or TensorFlow; strong programming skills in Python.<br/><br/></p><p>- Familiarity with AI libraries like HuggingFace, OpenCV, and Scikit-Learn.<br/><br/></p><p>- A solid foundation in the underlying mathematics of data science, including statistics, probability, and linear algebra.<br/><br/></p><p>- Experience with cloud platforms like AWS, GCP, or Azure is desirable.<br/><br/></p><p>- Contributions to major ML/AI conferences, publications, or open-source projects will be viewed favorably.</p><br/></p> (ref:hirist.tech)
            
         
  
  
  
        
        
        
        
        
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