Automation Engineer - Computer Vision / Deep Learning Data Scientist

About this role

Senior Data Scientist / ML Engineer – Computer Vision


Position Overview


We are seeking a
Senior Data Scientist / ML Engineer specializing in Computer Vision
to support the development, training, optimization, and deployment of machine vision solutions for automated visual inspection in a manufacturing environment.


This role will be a key contributor to an internally developed computer vision platform supporting production packaging operations. Unlike commercial off-the-shelf machine vision solutions provided by external vendors, this system has been custom designed and developed in-house to support specific manufacturing requirements and long-term digital transformation initiatives.


The successful candidate will help scale and mature an existing deployment currently operating on a packaging line equipped with approximately 40 cameras and will contribute to future expansion across additional manufacturing lines and facilities. The position offers the opportunity to work on a highly visible initiative that represents one of the organization's first large-scale implementations of AI-powered visual inspection technology.


This is an excellent opportunity for a hands-on machine learning professional who enjoys solving real-world industrial challenges and helping organizations adopt emerging technologies in operational environments.


Key Responsibilities


Computer Vision & Machine Learning

• Design, develop, train, validate, and optimize deep learning models for industrial image inspection and anomaly detection.
• Support the full machine learning lifecycle from dataset review through production-ready model evaluation.
• Analyze image datasets and identify opportunities to improve data quality, coverage, and labeling consistency.
• Implement image preprocessing, augmentation, ROI selection, masking, and feature engineering techniques.
• Develop anomaly detection workflows using supervised and unsupervised learning approach...