Machine Learning, DevOps Engineer - CARFAX Canada

Description

Working Here

At CARFAX Canada, we’re more than just obsessed with cars. We’re obsessed with data and using it to help millions of Canadians buy, sell and maintain cars - but you can learn that on our website. Let’s talk about the sweet perks you’ll get when working here (i.e. what you actually want to know): Some days you’ll be taking in-house leadership training courses, other days you’ll be eating a catered lunch with your team mates. Grab a seat in the state-of-the-art office in 100 Kellogg Lane and collaborate the day away? What’s that, it’s the summer? Well, the 4-day work weeks have kicked in; enjoy those extra paid days off! Why not use one of your paid volunteer days to give back to your community? What else can we list? Competitive wages, amazing benefits, yearly performance-based bonuses, health and wellness programs, a literal award-winning culture, parental leave top-ups and all kinds of social events. To top all of this off, every day you get to choose how you get to do meaningful work with incredible people. So, looks like we’re obsessed with a few things here – data and our people!

Job Details

CARFAX Canada is excited to announce the position of ML DevOps Engineer with a focus on Machine Learning, reporting to the Manager of Cloud & DevOps. This role will be part of a dynamic operations team that is excited to promote and adopt a Cloud-native, DevOps, and ML DevOps mindset.

You will be asked to implement Machine Learning, manage CI/CD pipelines, manage, assess, and implement structure, process, and monitor systems with a focus on machine learning. Providing feedback to all teams will be key to your team’s continuous improvement. You will be required to learn, research, pilot and recommend new tools and technologies that can be leveraged to improve our production machine learning technology stack.

Position Responsibilities 

• Build and operate machine learning solutions
• Conduct branching strategies for the source code, configure repositories, integrate DevOps repos with DevOps pipelines, source control artifacts for human consumption
• Implement continuous integration (CI) and design package management including an application infrastructure management strategy
• Implement a continuous delivery (CD) and release management strategy including complex deployments (ML, ML Ops, Mobile Apps, App Center, multi region, CDN, etc.)
• Monitor infrastructure, applications including Applications Insights, Azure Monitor, log analytics, Kusto Query Language, alerting, dashboards, workbooks, and KPIs
• Implement a Site Reliability Engineering (SRE) strategy, implement logging and telemetry, integrate logging and monitoring solutions, design a failure prediction strategy, and implement a health check
• Implement and maintain a build strategy and create a process for standardizing builds and deployments
• Collaborate, facilitate, deploy and release information to key stakeholders
• Creation and generation of DevOps process documentation

 Education and Experience Required

• 3+ years of extensive experience working with Azure Machine Learning Azure DevOps, and Azure cloud services
• Master-level scripting and automation abilities (PowerShell, Python, JSON, YAML, ARM Templates, Runbooks)
• Previous experience working in an Agile environment is a base requirement
• Working knowledge of databases specially Azure SQL (Microsoft T-SQL)
• Experience troubleshooting .NET and C# applications
• Self-starter and ability to effectively manage and prioritize daily work and projects
• University degree in Computer related Sciences or similar considered an asset
• Certification, preferably Microsoft Certified: Azure DevOps Engineer and Azure Data Scientist  

If you are interested in applying for this position, please visit our website. https://www.carfax.ca/about-carfax/work-at-carfax. Applications will be accepted until a suitable candidate is hired.

We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email hr@carfax.ca.

We thank all applicants for their interest; however only those selected for an interview will be contacted.

About Us

CARFAX’s mission is to help millions of people shop, buy, service and sell used cars with more confidence. As a leader in vehicle history and valuation, CARFAX provides impartial and comprehensive information for consumers and the automotive industry. CARFAX‘s Canadian headquarters in London, Ontario supports Canadian and U.S. markets, drawing on billions of data records from thousands of sources, enabling used vehicle buyers and sellers to make informed decisions. CARFAX is consistently recognized as a top employer and business. CARFAX is a part of S&P Global (NYSE: SPGI). Find out more at www.carfax.ca and connect with CARFAX on Instagram, Facebook and LinkedIn.


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