Computer Vision Engineer (Freelancer)

Soul Ai; Gurugram District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Soul AI, part of Deccan AI, invites India’s top Computer Vision engineers for a contract-based collaboration. You will tackle image/video processing, object detection, and generative AI tasks with industry leaders across remote or client-site engagements.

You will build industry-grade CV solutions, lead ML research using TensorFlow, PyTorch and JAX, and deploy in cloud/edge environments with Docker and Kubernetes. The role emphasizes MLOps and real-time performance.

Qualifications

• Expert in image/video processing, object detection, and generative AI.
• Experience deploying and optimizing models on cloud/edge.
• Strong knowledge of CV fundamentals and feature extraction.

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 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.

Skills

Python

OpenCV

NumPy

DL architectures

MLOps

3D vision

AR/VR

LiDAR

Tools

PyTorch

TensorFlow

JAX

TensorRT

OpenVINO

Docker

Kubernetes

CI/CD

MLflow

DVC

Job description

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.

What's 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.