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Computer Vision Engineer

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Onsite

Computer Vision Engineer

Soul Ai

Computer Vision Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonMicroservicesNumPyPyTorchTensorFlowRMachine LearningAIAWSKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


We are looking for Indias 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

Whats 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 AIs 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 (eg, 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, Open VINO, and cloud/edge solutions

Proficient with MLOps tools (ML flow, 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 (eg, Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask)

Research publications or patents in computer vision and deep learning

Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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