DevOps Ml Specialist

4 months ago

Montréal QC, Canada CBCRadio-Canada Full time

Position Title:
DevOps ML Specialist (French Services) (Telework)

Status of Employment:
Contractee Long-Term (Fixed Term)

Position Language Requirement:
French

Language Skills:
French (Reading), French (Speaking), French (Writing)

Work at CBC/Radio-Canada

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date:
2024-09-18 11:59 PM

Why work at CBC/Radio-Canada?

When you come to CBC/Radio-Canada, you’re not only joining the undisputed leader in expressing Canadian culture - you’re also participating in its digital revolution. Here, you’ll actively contribute to creating innovative projects on our major platforms and will find a stimulating, state-of-the-art and team-focused work environment.

This is a position that offers the possibility of full-time remote work. The work arrangements will be discussed with the hiring managers according to the guidelines set by the sector.

Your role

Would you like to join a dynamic team of approximately 150 web developers, including Backend, Frontend, mobile, QA, and more?

As a DevOps, your mission will be to participate in the evolution and maintenance of a robust and scalable infrastructure, entirely deployed as Infrastructure as Code (IaC) on Azure. You will primarily be at the heart of initiatives related to Machine Learning (ML), working closely with the ML and Big Data teams to support them in improving DevOps and MLOps best practices. Therefore, we are looking for someone passionate about technologies and practices associated with ML, with strong teamwork skills. Part of your job will also involve supporting the Web development teams.

Benefits and Work Environment
- Salary compensation for contract employees
- Competitive group insurance
- Remote work tailored to employees' needs
- Casual dress code

Key Responsibilities:
ML-Specific Responsibilities:

- Assist ML collaborators, whether they are data specialists or developers, in implementing MLOps best practices in terms of deployment, automation, monitoring, and security.
- Support ML collaborators in setting up automated pipelines for training, validation, and deployment of models.
- Assist ML collaborators in developing scripts and automation and maintenance tools.
- Support ML collaborators in solving issues related to deployment and infrastructure.

DevOps Responsibilities:

- Respond to requests from development teams regarding deployment and infrastructure.
- Participate in resolving production issues or production environment concerns by monitoring the JIRA service desk.
- Design, develop, and maintain CI/CD pipelines to automate deployment processes.
- Create and maintain Terraform/TerraSpace templates for provisioning infrastructure on Azure.
- Participate in various stages of maintenance for development and production infrastructure.
- Implement scripts and tools to support the automation of deployment, monitoring, and infrastructure management.
- Collaborate with development teams to integrate DevOps best practices into the software development lifecycle.
- Work with the SRE team to analyze and remedy performance issues identified in production.
- Configure and manage development, test, and production environments.
- Respond quickly to alerts and resolve incidents to minimize downtime.
- Participate in incident management and problem resolution.

You may be required to do paid on-call work.

Position Requirements:

- University degree or equivalent experience
- At least 4 years of experience in DevOps, Sysadmin, or Web development
- At least 2 years of experience with ML technologies, Big Data, and Data Science
- Good knowledge (at least 2 years) of Python
- Knowledge of Golang an asset
- Good understanding of DevOps and MLOps workflows
- Familiarity with _ML as a Service_ platforms such as Azure ML, Amazon SageMaker, or Google Vertex AI, or experience in developing MLOps automation feedback with other tools
- Passion for issues and new developments in the world of DevOps / MLOps / SecOps
- Good knowledge of Azure and Azure DevOps (ADO)
- Familiarity with Terraform and _Infrastructure as Code_ principles
- Knowledge of Git for source code management
- Knowledge of Bash, Ansible an asset
- Knowledge of Azure Databricks an asset
- Rigorous, autonomous, proactive, and resourceful
- Proficiency in French and functional knowledge of written and spoken English an asset

CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and

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