Computer Vision Engineer (Freelancer)

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

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 OfficeHyderabad 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, 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 (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 roundsClear the assessments once you are shortlisted.

  Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.

  Skip the Noise.

  Focus on Opportunities Built for You!.