AI Solutions Architect

6 days ago


Mount Abu, Rajasthan, India beBeeArchitecture Full time ₹ 21,00,000 - ₹ 26,00,000

Project Manager & AI Solutions Architect

Our organization is seeking an experienced and skilled Project Manager and AI Solutions Architect to lead a group of researchers and engineers in developing innovative solutions in image processing, computer vision, and deep learning.

Key Responsibilities

  • Manage and mentor 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.

Collaboration & Communication

  • Work closely with cross-functional teams.
  • Present results to stakeholders, prepare technical reports, and support publications/patent filings.
  • Represent the team in conferences, client meetings, and technical collaborations.

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/mentorship role.
  • Strong track record in developing and deploying deep learning models.
  • Proficiency in Python, PyTorch, TensorFlow, OpenCV, DICOM, NIfTY and related libraries.
  • Experience with MLOps, cloud platforms, and model optimization.
  • 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.
  • 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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