Technical Lead in Deep Learning Development

2 days ago

Pune, Maharashtra, India beBeeComputerVision Full time ₹ 6,00,000 - ₹ 8,00,000
Computer Vision Engineer

We are seeking a skilled Computer Vision Engineer to join our team of passionate engineers and researchers.

Key Responsibilities:

  • Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks.
  • Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data.
  • Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment.
  • Optimize model inference performance on both cloud and edge computing platforms.
  • Integrate computer vision models into production pipelines and edge-based inference systems.
  • Collaborate with MLOps/DevOps and product teams to deploy CV solutions at scale.

Requirements:

  • 2+ years of hands-on experience in computer vision and deep learning development.
  • Proficiency in Python with computer vision libraries and data processing tools.
  • Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures.
  • Experience with deployment and optimization on edge computing devices.
  • Understanding of classical computer vision techniques, including image processing fundamentals.
  • Experience in data pipeline management for vision applications.
  • Basic experience working with video streams from cameras, drones, or embedded platforms.
  • Experience with model serving frameworks and inference optimization tools.
  • Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding.
  • Knowledge of cloud AI services and edge computing platforms.
  • Experience with real-time object tracking algorithms.
  • Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications.

What We Offer:

A dynamic work environment with opportunities for growth and professional development.

Collaborative and innovative culture.

Competitive compensation package.

Opportunities for remote work.

Professional certification programs.

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