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 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 212 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.

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