AI Vision Leader

4 days ago

Thāne, Maharashtra, India beBeeVisionary Full time ₹ 20,00,000 - ₹ 25,00,000

Job Description

We are seeking an experienced and skilled individual to lead a team of researchers and engineers in developing innovative solutions at the intersection of AI and vision technologies.

Key Responsibilities:

  • 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).

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 Skills and 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/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).

Benefits:

  • Opportunity to lead impactful projects.
  • Access to cutting-edge computational resources and datasets.
  • Competitive salary and performance incentives.
  • Collaborative, innovation-driven work environment.

What We Offer:

  • A dynamic and supportive work environment.
  • Excellent opportunities for career growth and development.
  • State-of-the-art facilities and resources.
  • Professional development and networking opportunities.

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