ph3Lear For You /h3 pWe work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you. /p pA path to a better career. A better future. /p pOur teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies. /p pThey’re the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together. /p pAre you ready for a better career? A better future? /p h3Job Description /h3 pYou will design, deploy, and improve AI-driven computer vision solutions that support smart industrial manufacturing. This role combines end-to-end machine learning ownership with close collaboration across AI and software engineering teams to deliver scalable, production-ready solutions. /p h3Responsibilities /h3 ul liDesign and develop end-to-end machine learning and computer vision solutions for industrial automation use cases. /li liBuild and maintain scalable pipelines for data processing, model training, validation, and deployment. /li liLead data collection, labeling, preprocessing, and quality improvement activities for AI projects. /li liTrain, evaluate, and optimize machine learning and deep learning models for production environments.



/li liDeploy AI models into operational systems and support integration with software engineering teams. /li liMonitor model performance, track key metrics, and implement ongoing improvements and fine-tuning. /li liEvaluate emerging AI, computer vision, and foundation model technologies for business applications. /li liMentor junior AI engineers and share technical knowledge across multidisciplinary teams. /li /ul h3Experience Requirements /h3 ul liBachelor's degree in Computer Science, Statistics, Mathematics, Physics, or equivalent experience. /li li5+ years of experience developing and deploying machine learning and computer vision solutions throughout the MLOps lifecycle. /li liAdvanced proficiency in Python and hands-on experience with PyTorch, Scikit-learn, OpenCV, Transformers, and related AI frameworks. /li liStrong experience with modern computer vision techniques, including object detection, segmentation, visual feature extraction, and deep learning models. /li liExperience working with GPU-based training environments, software engineering best practices, version control systems, and cloud AI platforms. /li /ul h3Equal Opportunity Employer /h3 pLear Corporation is committed to fair, merit-based employment practices and equal opportunity. /p pWe provide reasonable accommodations in accordance with applicable law. /p /p #J-18808-Ljbffr

📌 AI Engineer (Arroyo de la Encomienda)
🏢 Lear
📍 Arroyo de la Encomienda