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AIML Engineer (INDIA)

Actively Reviewing the Applications

OptraSCAN

India, Maharashtra Full-Time On-site
Posted 5 days ago Apply by June 4, 2026

Job Description

Company Overview:

OptraSCAN is a Series B Venture funded company, a leader in AI Pathology solutions, committed to improving diagnostic accuracy and efficiency in healthcare. Our cutting-edge technology enables pathologists and researchers to make accurate diagnoses efficiently and effectively, ultimately improving patient outcomes.


Job Description:

AIML Engineer (Image Processing /Computer Vision /Medical imaging)

OptraSCAN is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML professional, you will play a pivotal role in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare.


Responsibilities:

  • Design, develop, and implement machine learning algorithms and AI models for digital pathology applications.
  • Analyze large-scale medical imaging datasets and extract meaningful insights to improve diagnostic accuracy and efficiency.
  • Optimize algorithms for performance, scalability, and robustness in real-world clinical settings.
  • Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into our digital pathology platform.
  • Stay updated on the latest advancements in AI/ML technologies and contribute to continuous learning and improvement within the team.
  • Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices.


Requirements:

  • Minimum. 3-6 yr of relevant experience (Digital pathology)
  • Proficient in Python & C++ programming Language
  • Hands-on experience with TensorFlow and PyTorch frameworks
  • Experience in MATLAB for algorithm development and analysis
  • Knowledge of CUDA programming for GPU acceleration
  • Strong background in Image Processing techniques
  • Knowledge of AI/ML technology, NLP, Machine learning
  • Object oriented design/development skills
  • Knowledge of image analysis methods, techniques and practices
  • In-depth knowledge of Neural Networks (e.g., CNNs, RNNs, etc.)
  • Familiarity with multithreading and parallel computing concepts.


How to Apply:

Interested candidates can apply through LinkedIn or send their resume to [email protected]

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