Computer Vision Engineer (Freelancer)

Soul Ai; Hyderabad; Hybrid; INR 900,000 - 1,500,000; Part time

Job summary

Soul Ai is seeking top-tier Computer Vision Engineers in India to develop and optimize CV models for object detection, segmentation and tracking. You will lead research on deep learning techniques and deploy models via microservices and cloud platforms, while advancing MLOps practices.

The role offers remote work with onsite possibilities at client locations in Hyderabad or Bangalore, and pays above market standards for contract-based engagement with project timelines from 2 to 12 months.

Qualifications

• Expert in Python, OpenCV, NumPy and deep learning architectures such as ViTs, YOLO, Mask R-CNN.
• Strong foundations in CV, feature extraction and multi-view geometry with deployment/optimization via TensorRT, OpenVINO, cloud/edge.
• 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: multi-camera CV systems, LiDAR, sensor fusion and RL for vision.
• Exposure to generative AI models (Stable Diffusion, GANs) and large-scale image processing (Spark, Dask).
• Research publications or patents in CV and deep learning.

Responsibilities

• Develop and optimize computer vision models for object detection, image segmentation, and multi-object tracking.
• Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX).
• Build efficient CV 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.

Skills

Python

OpenCV

NumPy

Deep learning

ViTs

YOLO

Mask R-CNN

TensorFlow

PyTorch

JAX

MLOps

CI/CD

Docker

Kubernetes

3D vision

Tools

Docker

Kubernetes

TensorRT

OpenVINO

Apache Spark

Dask

Job description

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.