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.