Principal Computer Vision AI Engineer

Ecolab is looking for an experienced computer vision AI engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.What's in it for you:As a key player in our new division, you'll have the unique opportunity to shape its culture and direction.Impact the success of our innovative projects and help define the future of our product offeringsExperience the best of both worlds with this team at Ecolab: the agility and creativity of a startup paired with the stability and resources of a global leader.Our collaborative environment fosters innovation while providing the support and security you need to thrive.What you will do:Aid in creating product roadmap by informing key technical decisions and best practices for Vision AI useDevelop and implement computer vision algorithms using libraries such as OpenCV and frameworks for CNNs (Convolutional Neural Networks) for object detection, tracking, and image classificationApply supervised and unsupervised machine learning algorithms for tasks like classification, regression, and anomaly detectionOversee the MLOps lifecycle including data collection, labeling, model training, evaluation, inference, refinement, and monitoringCollaborate with cross-functional teams to integrate vision systems with hardware and software platforms, ensuring high performance and reliabilityConduct research on state-of-the-art recognition techniques and stay current with industry trendsMinimum QualificationsBachelors degree and 10 years experience; or no degree and 12 years combined education and equivalent work experience10 years of work experience with a specialization in computer vision or machine learning Vision AIProficiency in Python programmingStrong knowledge of core computer vision algorithms and libraries like OpenCVExperience with convolutional neural networks for computer vision tasksSolid understanding of supervised and unsupervised machine learning algorithmsExpertise in MLOps, covering the full model lifecycleProven experience in collecting, cleaning, and organizing large datasets for training and testing modelsDemonstrated ability to implement and fine-tune computer vision models for various item classesNo immigration sponsorship available for this positionPreferred QualificationsAdvanced degree (MS/PhD) in Computer Science, Electrical Engineering, Applied MathematicsExperience with advanced object detection frameworks like YOLO and RoboflowExperience using PyTorch, AutoML and similar model training frameworksFamiliarity with Azure Machine Learning and Azure Vision AIExperience with containerization tools like Docker and orchestration with KubernetesProven experience deploying distributed Cloud & Edge solutionsKnowledge of multi-modal language models like GPT-4V and specialized language models like the Phi familyInterest in collaborating with partners outside of core team / organizationOpenness to experimental approaches typical of tech start-upsA trusted partner at nearly three million customer locations, Ecolab (ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, our 49,000 associates help deliver comprehensive science-based solutions, data-driven insights and world class service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.comWhen you come to work at Ecolab, you get to take on some of the world's most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.Follow us on Twitter @ecolab, Facebook at facebook.com/ecolab, LinkedIn at Ecolab or Instagram atEcolab Inc.#LI-USCFBenefitsEcolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families.Click here to see our benefits.If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.Covid-19 Vaccine NoticeDue to local mandates and customer requirements, applicants for certain customer-facing positions must be fully vaccinated (which in some situations requires a booster if eligible), unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.Americans with Disabilities Act (ADA)Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.