Computer Vision Engineer

Soul Ai; Chennai; Remote; INR 1,102,000 - 2,480,000; Full time

Job summary

Soul Ai is seeking top-tier Computer Vision Engineers in India for a contract-based opportunity with industry leaders. You will work on image processing, object detection, and generative AI, collaborating with an elite community of AI professionals.

The role offers remote-first engagement with onsite options in Hyderabad/Bangalore and client locations; project timelines range from 2 to 12 months, with freelancing possibilities. Strong focus on real-time CV systems and scalable ML pipelines.

Qualifications

• Proficient in Python, OpenCV, NumPy, and DL architectures.
• Experience deploying CV models with real-time performance.
• Knowledge of MLOps tools and CI/CD pipelines.
• Experience with 3D vision, AR/VR, or LiDAR is a plus.

Responsibilities

• Develop and optimize computer vision models for object detection, segmentation, and tracking.
• Lead research on novel deep learning techniques.
• Build CV pipelines and optimize for real-time performance.
• Deploy models using Docker/Kubernetes and cloud platforms; lead MLOps practices.

Skills

Python programming

Computer vision fundamentals

MLOps concepts

Deep learning architectures

Tools

TensorFlow

PyTorch

JAX

Docker

Kubernetes

TensorRT

OpenVINO

AWS/GCP/Azure

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