- Company Name
- Aperam
- Job Title
- Innovation Computer vision Engineer
- Job Description
-
**Job Title:**
Innovation Computer Vision Engineer
**Role Summary:**
Design, develop, and deploy vision‑based solutions for steel manufacturing processes, translating research prototypes into production‑ready systems that boost efficiency, quality control, and safety.
**Expectations:**
- Deliver robust, high‑performance vision solutions on schedule.
- Convert experimental concepts into scalable, maintainable production code.
- Collaborate closely with process engineers, data scientists, and operations to meet plant goals.
**Key Responsibilities:**
- Architect end‑to‑end vision systems: data acquisition, preprocessing, model training, inference integration.
- Gather, label, and augment high‑quality datasets from industrial cameras.
- Train, tune, and evaluate deep learning models (CNNs, segmentation, anomaly detection).
- Optimize models for real‑time inference on embedded / edge hardware.
- Validate system performance against process KPIs, iterate on design.
- Produce technical documentation, test plans, and maintenance guidelines.
- Monitor live deployments, diagnose failures, and implement corrective actions.
**Required Skills:**
- Strong foundation in computer vision & deep learning (segmentation, object detection, defect classification).
- Proficiency in Python, C++/CUDA; experience with OpenCV, PyTorch/TensorFlow, ONNX.
- Familiarity with industrial imaging hardware, illumination, and calibration.
- Experience deploying models on edge devices, Docker, and CI/CD pipelines.
- Analytical mindset, troubleshooting skills, and clear communication.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or equivalent.
- Preferable certifications: NVIDIA Deep Learning Institute, TensorFlow, or related AI/ML credentials.