Visionary Team Leader

1 day ago

Surat, Gujarat, India beBeeTeamLeader Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Leadership Opportunity in AI Vision

We are seeking an accomplished leader to spearhead a team of researchers and engineers in developing innovative solutions for image processing, computer vision, and deep learning.

Main Responsibilities:

  • Pioneer, mentor, and oversee a multidisciplinary team of experts.
  • Create project goals, timelines, and deliverables, ensuring alignment with organizational objectives.
  • Foster a collaborative, innovative, and high-performance work environment.

Research & Development:

  • Design, implement, and optimize cutting-edge algorithms for tasks such as detection, segmentation, tracking, and recognition.
  • Promote innovation in image analysis, medical imaging, industrial vision, and AI-powered automation.
  • Stay updated with the latest advancements, tools, and publications in AI and vision technologies.

Project Execution:

  • Migrate business/clinical/industrial requirements into AI-based solutions.
  • Oversight of end-to-end pipeline: data acquisition, preprocessing, model training, evaluation, and deployment.
  • Ensure robustness, scalability, and compliance with regulatory or domain-specific standards.

Collaboration & Communication:

  • Collaborate closely with cross-functional teams (data science, software, product, hardware).
  • Present results to stakeholders, prepare technical reports, and support publications/patent filings.

Required Qualifications:

  • Master's 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 role.
  • Strong track record in developing and deploying deep learning models.
  • Proficiency in Python, PyTorch, TensorFlow, OpenCV, DICOM, NIfTY, and related libraries.

Preferred Skills:

  • Experience in medical imaging, autonomous systems, robotics, or industrial inspection.
  • Knowledge of regulatory frameworks.
  • Strong understanding of data management, annotation strategies, and synthetic data generation.

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