Senior Leader

1 day ago

Mohali, Punjab, India beBeeComputerVision Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Description

As a senior computer vision leader, you will define and execute the companys strategic roadmap for AI and computer vision initiatives. Your expertise in deep learning frameworks, computer vision libraries, and experience with edge computing and cloud platforms are essential to drive innovation and growth.

Key Responsibilities:

  • Develop and deploy scalable computer vision solutions using cutting-edge deep learning frameworks.
  • Build and mentor high-performance CV/AI teams to foster collaboration and drive research-to-production pipelines.
  • Architect and implement computer vision models optimized for edge devices and real-time cloud systems.
  • Explore emerging technologies, including 3D computer vision, generative AI (GANs), LLMs, and lightweight vision models like SmolVLM.
  • Oversee the MLOps lifecycle, including model training, versioning, deployment, and continuous inference monitoring.
  • Cross-functional collaboration with product, engineering, and business teams to translate complex AI solutions into business value.
  • Contribute to patents, technical publications, or white papers to strengthen the companys technical leadership.
Required Skills and Qualifications

Requirements:

  • Bachelor's, Master's, or Ph.D. in Computer Science, AI, Computer Vision, or related field.
  • 10+ years of experience in computer vision or applied AI, with at least 3+ years in a leadership role.
  • Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
  • Proven track record in building and deploying computer vision models in production environments.
  • Experience with edge computing (e.g., NVIDIA Jetson, Coral) and cloud platforms (AWS, GCP, Azure).
  • Strong foundation in 3D vision, point cloud processing, depth estimation, or SLAM is a plus.
  • Working knowledge of generative models (GANs, autoencoders), LLMs, and lightweight vision architectures (e.g., SmolVLM).
  • Hands-on experience in MLOps, CI/CD for AI, model serving, and monitoring pipelines.
  • Excellent problem-solving, team leadership, and stakeholder management skills.
Benefits

The ideal candidate will have a strong passion for innovation, a collaborative mindset, and excellent communication skills.

Others

This role requires a unique blend of technical expertise, leadership skills, and business acumen.

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