Principal Computer Vision AI Engineer - ECOLAB

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 offerings 
• Experience 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 use 
• Develop and implement computer vision algorithms using libraries such as OpenCV and frameworks for CNNs (Convolutional Neural Networks) for object detection, tracking, and image classification 
• Apply supervised and unsupervised machine learning algorithms for tasks like classification, regression, and anomaly detection 
• Oversee the MLOps lifecycle including data collection, labeling, model training, evaluation, inference, refinement, and monitoring 
• Collaborate with cross-functional teams to integrate vision systems with hardware and software platforms, ensuring high performance and reliability 
• Conduct research on state-of-the-art recognition techniques and stay current with industry trends 

Minimum Qualifications 

• Bachelors degree and 10 years experience; or no degree and 12 years combined education and equivalent work experience
• 10 years of work experience with a specialization in computer vision or machine learning Vision AI
• Proficiency in Python programming 
• Strong knowledge of core computer vision algorithms and libraries like OpenCV 
• Experience with convolutional neural networks for computer vision tasks 
• Solid understanding of supervised and unsupervised machine learning algorithms 
• Expertise in MLOps, covering the full model lifecycle 
• Proven experience in collecting, cleaning, and organizing large datasets for training and testing models 
• Demonstrated ability to implement and fine-tune computer vision models for various item classes 
• No immigration sponsorship available for this position

Preferred Qualifications

• Advanced degree (MS/PhD) in Computer Science, Electrical Engineering, Applied Mathematics 
• Experience with advanced object detection frameworks like YOLO and Roboflow 
• Experience using PyTorch, AutoML and similar model training frameworks 
• Familiarity with Azure Machine Learning and Azure Vision AI 
• Experience with containerization tools like Docker and orchestration with Kubernetes 
• Proven experience deploying distributed Cloud & Edge solutions 
• Knowledge of multi-modal language models like GPT-4V and specialized language models like the Phi family 
• Interest in collaborating with partners outside of core team / organization 
• Openness to experimental approaches typical of tech start-ups 

A 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.com

When 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 at Ecolab Inc.  

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Ecolab 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. 

Our Commitment to Diversity and Inclusion
At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.

In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.