Computer Vision Specialist

7 days ago

Gulbarga, Karnataka, India beBeeVision Full time US$ 1,50,000 - US$ 2,50,000
Job Title: Vision Technology Lead

We are seeking a highly experienced and motivated individual to lead a team of researchers and engineers in developing innovative solutions in image processing, computer vision, and deep learning.

  • Leadership & Team Management:
    • Lead, mentor, and manage a multidisciplinary team of researchers and engineers.
    • Define project goals, timelines, and deliverables, ensuring alignment with organizational objectives.
    • Foster a collaborative, innovative, and high-performance culture.
  • Research & Development:
    • Design, implement, and optimize deep learning and computer vision algorithms for tasks such as detection, segmentation, tracking, and recognition.
    • Drive innovation in image analysis, medical imaging, industrial vision, and AI-powered automation.
    • Stay updated with the latest trends, tools, and publications in AI and vision technologies.
    • Project Execution:
      • Translate business/clinical/industrial needs into AI-based solutions.
      • Oversee end-to-end pipeline: data acquisition, preprocessing, model training, evaluation, and deployment.
      • Ensure robustness, scalability, and compliance with regulatory or domain-specific standards (e.g., FDA for Software as a Medical Devices)
  • Collaboration & Communication:
    • Work closely with cross-functional teams (data science, software, product, hardware).
    • Present results to stakeholders, prepare technical reports, and support publications/patent filings.
    • Represent the team in conferences, client meetings, and technical collaborations.

Required Qualifications:

  • Masters or PhD in Computer Science & Engineering, Biomedical Engineering, or related fields.
  • 5–10+ years of experience in image processing, computer vision, and deep learning, with at least 2+ years in a leadership/mentorship role.
  • Strong track record in developing and deploying deep learning models (Unets, CNNs, Transformers, GANs, etc.).
  • Proficiency in Python, PyTorch, TensorFlow, OpenCV, DICOM, NIfTY and related libraries.
  • Experience with MLOps, cloud platforms (AWS/Azure/GCP), and model optimization (quantization, pruning).
  • Strong publication/patent record (for R&D roles) or deployment history (for industry roles).

Preferred Skills:

  • Experience in medical imaging, autonomous systems, robotics, or industrial inspection.
  • Knowledge of regulatory frameworks (e.g., FDA, CE Marking for SaMD).
  • Strong understanding of data management, annotation strategies, and synthetic data generation.
  • Excellent problem-solving, communication, and stakeholder management skills.

What We Offer:

  • Opportunity to lead impactful projects at the intersection of AI and vision technologies.
  • Access to cutting-edge computational resources and datasets.
  • Competitive salary, performance incentives, and career growth opportunities.
  • Collaborative, innovation-driven work environment.

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