Aquatic Informatics – Software Engineer – Machine Learning in Vancouver, British Columbia

Aquatic Informatics ( https://aquaticinformatics.com/ ) is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. Water monitoring agencies worldwide trust us to acquire, process, model, and publish water information in real time. We offer a full range of solutions, from standalone software packages for individual users, hosted software services, and enterprise-wide national systems. We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.

Aquatic Informatics (AQI) is headquartered in Vancouver, Canada and has offices in the US and Australia. We value independent thinking, initiative, teamwork, a relentless pursuit of quality, a playful spirit, and a sense of humor. We like smart people – IQ and EQ – who care about the environment and want to do good in the world. If you want a meaningful role with a company that is making a real difference in one of the most important resources in the world: water, then join our energetic growing team! Help us revolutionize an industry!

AQI is proud to be a Water Quality company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World’s Most Vital Resources.

About the role:

The Senior Software Engineer – Machine Learning is responsible for contributing to Aquatic Informatics’ suite of predictive analytics products which support our customers’ mission to leverage intelligent water solutions to protect the environment and human health. They will work on an interdisciplinary team of engineers, scientists, domain experts and business leaders to ideate, build and operate disruptive predictive analytics products that influence critical real-world decisions.

This position is part of the Engineering Department located in Vancouver and will be hybrid or remote.

In this role, you will:

• Lead and establish best practices for operationalizing algorithms and models in production (MLOps)

• Apply both software and data skills to lead and collaborate in the design, requirements gathering, implementation, review, documentation, and troubleshooting of new and existing features

• Develop models of water processes in the natural and urban environment to optimize decision making.

• Analyze time series and other related data to develop testable research problems that drive business value

• Mentor and support junior engineers.

Are you qualified?

• Masters in computer science, engineering, data science or a related technical discipline.

• 7+ years of industry experience designing, building and operating large, scalable, data intensive, cloud-native applications on AWS and/or Azure platforms

• 2+ years of experience building and deploying scalable machine learning solutions

• 5+ years of software design and Python and/or C# coding experience

• Outstanding English communication skills, both verbal and written

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

If you’ve ever wondered what’s within you, there’s no better time to find out.

Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.