Full-Stack Python Intern

November 1

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Tecsys Inc.

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Warehouse Management • Distribution Management • Transportation Management • Supply Management • Financial Management

501 - 1000

Description

• Having recognized the advantages of remote work, we are proud to be a digital-first company. • Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems. • Our growing Artificial Intelligence department is leveraging AI/ML-based technologies. • We are looking for a Full-Stack Pythonista Intern to help bring AI/ML solutions into production. • You will work under the guidance of the department lead and contribute to software construction methodologies. • Enhance our collection of Python functions that handle AI/ML functionalities. • Leverage advanced features of the Python language to produce superior code. • We are committed to fostering a diverse and inclusive workplace, welcoming applicants from all backgrounds. • If you're applying, you must be a Canadian Citizen, Permanent Resident, or have a valid work permit.

Requirements

• A strong understanding of the core features of the Python language. • Familiarity with software development methodologies. • Knowledge of modern API design principles, especially RESTful APIs. • Experience with the Flask framework and its ecosystem, including JavaScript and common front-end libraries like Vue.js. • Comfortable developing web servers with a *nix based operating system. • Effective communication and strong interpersonal skills. • A willingness to propose new ideas and challenge the status quo. • A degree in Software Engineering or Computer Science (or close to graduation), or in a Masters program. • Currently residing in the Montreal/Greater Montreal area. • Strong proficiency in both written and verbal English communication essential for effective correspondence with clients, suppliers, business partners, and colleagues beyond the province of Quebec. • Knowledge/experience in DevOps, GitLab, docker, as well as it’s CI/CD, and software release practice. • Understand Data Science and Machine Learning concepts and familiarity with the AI/ML open-source tooling ecosystem (Jupyter, Numpy, Pandas, NetworkX, Scikit-Learn) • Knowledge of unit testing. • Have deployed solutions to the AWS cloud. • Have worked in a Scrum environment.