Computer Vision Engineer

Soul Ai; Delhi; Remote; INR 1,653,000 - 3,168,000; Full time

Job summary

Soul Ai seeks top-tier Computer Vision Engineers to collaborate with industry leaders on cutting-edge CV projects. You will build and optimize models for object detection, segmentation, and tracking, while advancing research in deep learning methods and scalable deployment.

Location is flexible with a strong remote option; contract-based engagements spanning 2 to 12 months, or freelance arrangements, offering exposure to elitist AI challenges and edge-computing deployments.

Qualifications

• Expert in Python, OpenCV and NumPy with deep learning experience.
• Proficiency in CV architectures (ViTs, YOLO, Mask R-CNN) and real-time optimization.
• Experience deploying models with Docker/Kubernetes and MLOps practices.

Responsibilities

• Develop and optimize computer vision models for object detection, segmentation, and tracking.
• Lead research on novel techniques using frameworks like TensorFlow, PyTorch, JAX.
• Build efficient CV pipelines and optimize for real-time performance.
• Deploy models with microservices and cloud platforms; lead CI/CD and model versioning.

Skills

Python

OpenCV

NumPy

ViTs

YOLO

Mask R-CNN

CV fundamentals

MLOps

CI/CD

Distributed training

3D vision

AR/VR

LiDAR

TensorRT

OpenVINO

TensorFlow

PyTorch

JAX

Multi-camera vision

Tools

Docker

Kubernetes

MLflow

DVC

Apache Spark

Dask

TensorRT

OpenVINO

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 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 (eg, 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 (eg, Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask)
• Research publications or patents in computer vision and deep learning

Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad