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Computer Vision Engineer (Freelancer)

Computer Vision Engineer (Freelancer)

ConfidentialDelhi, Delhi NCR
30+ days ago
Job description

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

We are looking for India's top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders.

Who can be a part of the community

We are looking for top-tier Computer Vision (CV) Engineers with expertise in image / video processing, object detection, and generative AI.

If you have experience in this field then this is your chance to collaborate with industry leaders.

What's in it for you

  • Pay above market standards.
  • The role is going to be contract based with project timelines from 2–12 months, or freelancing.
  • Be a part of an Elite Community of professionals who can solve complex AI challenges.

Work location could be :

  • Remote (Highly likely).
  • Onsite on client location.
  • Deccan AI's Office – Hyderabad or Bangalore.
  • Responsibilities :

  • Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking.
  • Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Build efficient computer vision pipelines and optimize models for real-time performance.
  • Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
  • Lead MLOps practices, including CI / CD pipelines, model versioning, and training optimizations.
  • Required Skills :

  • Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN).
  • Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, OpenVINO, and cloud / edge solutions.
  • Proficient with MLOps tools (MLflow, DVC), CI / CD, and distributed training frameworks.
  • Experience in 3D vision, AR / VR, or LiDAR processing is a plus.
  • Nice to Have :

  • Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks.
  • Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask).
  • Research publications or patents in computer vision and deep learning.
  • What are the next steps

  • Register on our Soul AI website.
  • Our team will review your profile.
  • Clear all the screening rounds
  • Clear the assessments once you are shortlisted.
  • Profile matching and Project Allocation
  • Be patient while we align your skills and preferences with the available project.
  • Skip the Noise.

    Focus on Opportunities Built for You!

    Skills Required

    Computer Vision, object detection , Deep Learning, MLops, Image Processing

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    Computer Vision Engineer • Delhi, Delhi NCR

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