Computer Vision And Deep Learning Engineer

Roles & Responsibilities

Build and deploy production-grade Computer Vision, GenAI, RAG, and OCR solutions.

Optimize AI models for edge and on-prem environments.

Develop real-time image/video pipelines and production APIs.

Integrate AI systems with industrial platforms and client workflows.

Own model quality, evaluation, deployment, monitoring, and troubleshooting.

Collaborate with clients and mentor junior engineers.

Preferred Candidate Profile

2 to 7 years of production AI/ML experience.

Strong Python, Computer Vision, PyTorch/TensorFlow, OpenCV, and deployment skills.

Experience with YOLO, RAG, LLMs, vector databases, Docker, FastAPI, and edge inference.

Exposure to TensorRT, Jetson, DeepStream, CUDA, LangGraph, MLOps, or cloud is preferred.

Industrial inspection or manufacturing AI experience is an added advantage. .