Hach
Location
Vancouver, British Columbia, Canada
Category
Intern
Job Id
R10262255
About the Opportunity
As a Software Engineer - Machine Learning Co-op at Aquatic Informatics, you will become an integral member of the predictive analytics engineering team. Working in an Agile team, you will be exposed to the breadth of software engineering and data science activities with a specific focus on operationalizing algorithms being developed by the team.
Qualifications
Must be currently enrolled in an accredited post-secondary institution
Passionate about the intersection of data science and software engineering
Love to code - production code, test code, automation code, dev tooling code
Thrive on using data to solve challenging technical problems
Resourceful and independent, while being a contributing member of a collaborative team
Constantly seek new ways to do things better
Excellent English communication skills, both verbal and written
Programming experience with at least one scientific language (bonus for Python) or object-oriented language (bonus for C#).
Knowledge of JavaScript and front-end frameworks is desirable (e.g. Angular, AngularJS or React)
Demonstrated interest in keeping up to date with current technology and engineering best practices
Currently studying computer science, data science, software engineering, or a related discipline
Completion of one or more previous co-op terms is an asset
Bonus
We value previous exposure to cloud computing environments (Azure) and MLOps
We value Agile team experience (Scrum)
We value interest or experience in hydrology, environmental sciences, or industrial automation
This is a hybrid role based in Vancouver, B.C. Aquatic Informatics is a remote-first company however there are frequent in-person meeting requirements in our Vancouver, B.C. office.
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.
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