Computer Vision Engineer (Freelancer)

1 - 4 years

1 - 4 Lacs

Posted:1 month ago| Platform: Foundit logo

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Skills Required

CI/CD

Work Mode

Remote

Job Type

Full Time

Job Description

We are seeking India's top 1% Computer Vision Engineers to join an elite community of professionals solving complex AI challenges. If you're passionate about cutting-edge vision systems, generative AI, and real-time model optimization, this is your opportunity to collaborate with industry leaders and shape the future of intelligent systems.

Who Should Apply

Engineers with deep expertise in:

  • Image and video processing, object detection, segmentation, and tracking
  • Generative AI models (e.g., GANs, Stable Diffusion)
  • Real-time model deployment and optimization for cloud and edge

Key Responsibilities

  • Develop and optimize computer vision models for tasks like object detection, segmentation, and multi-object tracking
  • Lead research on novel techniques using TensorFlow, PyTorch, or JAX
  • Build efficient vision pipelines and optimize models for real-time performance
  • Deploy models via microservices (Docker, Kubernetes) on AWS, GCP, or Azure
  • Lead MLOps practices including CI/CD, model versioning, and distributed training

Required Skills

  • Expert in Python, OpenCV, NumPy, and deep learning architectures (ViTs, YOLO, Mask R-CNN)
  • Strong foundation in computer vision fundamentals, feature extraction, and multi-view geometry
  • Experience with TensorRT, OpenVINO, and cloud/edge deployment
  • Proficient in MLOps tools (MLflow, DVC), CI/CD, and distributed training frameworks

Nice to Have

  • Experience with multi-camera systems, LiDAR, sensor fusion, or reinforcement learning
  • Familiarity with large-scale image processing (Apache Spark, Dask)
  • Research publications or patents in computer vision or deep learning

Why Join Us

  • Pay above market standards
  • Flexible contract durations (212 months)
  • Remote-first with optional onsite roles
  • Be part of an elite engineering community solving real-world AI problems

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