Computer Vision Engineer (Freelancer)

Soul Ai; Hyderabad; Remote; INR 1,674,000 - 2,344,000; Part time

Job summary

Soul Ai is seeking India’s top 1% Computer Vision Engineers to join a contract-based role with project timelines from 2 to 12 months or freelancing. You will develop and optimize CV models for detection, segmentation and tracking, and lead research on deep learning techniques.

Ideal candidates have strong Python, OpenCV, DL background, experience with YOLO/Mask R-CNN, and proficiency in MLops tools, Docker/Kubernetes and cloud platforms. Remote-first, with onsite options in Hyderabad/Bangalore.

Qualifications

• Expert in Python, OpenCV, NumPy and DL architectures such as ViTs, YOLO, Mask R-CNN.
• Strong CV fundamentals incl. feature extraction and multi-view geometry.
• Experience deploying and optimizing models with TensorRT/OpenVINO and cloud/edge solutions.
• Proficient with MLOps tools (MLflow, DVC), CI/CD, and distributed training frameworks.

Responsibilities

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

Skills

Python

OpenCV

NumPy

Deep Learning

ViTs

YOLO

Mask R-CNN

TensorFlow

PyTorch

JAX

3D Vision

AR/VR

LiDAR

MLOps

Docker

Kubernetes

MLflow

DVC

Education

Tools

TensorRT

OpenVINO

Cloud Platforms

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.