Senior Data Scientist for Advanced Computer Vision Development

5 days ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,80,000

At Entrupy, we are seeking a Senior Machine Learning Engineer to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

About the Role

We are looking for a highly skilled engineer with expertise in classical Computer Vision and Deep Learning to drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. This role is crucial in shaping the future of our organization.

Key Responsibilities
  • Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
  • Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.
  • Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
  • Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.
  • Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
Requirements
  • Bachelor's or Master's degree in Electronics, Physics, Computer Science, or related field.
  • 4-7 years of experience in computer vision and machine learning development.
  • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
  • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
  • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
What We Offer
  • A market competitive compensation structure that reflects our commitment to pay equity.
  • A hybrid work setup that offers flexibility and work from anywhere options for 4-8 weeks per year.
  • A generous time-off policy that includes company holidays, paid time off, sick time, parental leave, and more.
  • Rich medical benefits and insurance coverage to ensure your well-being.

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