Vision AI Engineer

We are seeking a Vision AI Engineer to design and deploy production-grade computer vision solutions for Smart Factory and Digital Twin environments. You will manage the full lifecycle of AI projects, from hardware image acquisition to model inference and system integration. This role is based in Pan India and operates on a hybrid work model.

Our client is a leading global professional services firm that provides high-end consulting and advisory solutions to a diverse range of industries. They are currently expanding their Industrial Digital & AI team to drive innovation in smart manufacturing and enterprise-grade automation. The firm fosters a collaborative, high-performance culture that encourages technical excellence and professional growth.

Responsibilities

• Translate industrial inspection, safety, and traceability requirements into measurable computer vision acceptance criteria.
• Design end-to-end image acquisition setups, including selection of cameras, optics, lighting, and calibration protocols.
• Develop and optimize classification, object detection, segmentation, and OCR models for edge and cloud deployment.
• Manage dataset governance, including annotation guidelines, quality control, and versioning.
• Build robust inference pipelines and integrate vision outputs with MES, Digital Twin, and enterprise workflow systems.
• Conduct rigorous testing for failure modes, lighting variations, and camera drift to ensure system reliability.
• Support site installation, commissioning, and root-cause analysis to stabilize performance in production environments.

Requirements

• 4-7 years of professional experience in computer vision, machine learning, or image processing.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong expertise in OpenCV and hands-on experience with industrial cameras, lenses, and edge-compute constraints.
• Experience with visual quality inspection, defect detection, and PPE/safety monitoring.
• Familiarity with NVIDIA Jetson, TensorRT, ONNX, and industrial vision SDKs.
• Knowledge of MLOps, active learning, synthetic data generation, and Digital Twin integration.
• Bachelor’s or Master’s degree in Computer Science, Electronics, Instrumentation, Robotics, or a related technical discipline.

Skills

Python, PyTorch, TensorFlow, OpenCV, Computer Vision, Machine Learning, Image Processing, Edge Computing, Visual quality inspection, Defect detection, PPE/safety monitoring, NVIDIA Jetson, TensorRT, ONNX, MLOps, Active learning, Synthetic data generation, Digital Twin integration