Senior DevOps Engineering Manager - ML Platform

London, Ontario, Canada

CARFAX

CARFAX ist ein internationaler Anbieter von Gebrauchtwagenhistorien für sicheren Gebrauchtwagenhandel. ✓Sicher kaufen ✓Lukrativ verkaufen ✓Importcheck

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Join Team CARFAX as a Senior DevOps Engineering Manager - ML Platform Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment.  What makes our Tech Culture Amazing?
We’re passionate about having a creative and innovative environment where our developers collaborate and continuously learn and grow. Autonomy is a key pillar of our tech culture. Our developers have the freedom to bring new tools, frameworks, and ideas to the table knowing their voice will be heard. We’re not afraid of trying new things; if the case is made for a new technology or approach, our developers know it will be tried. At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 3 days in our London office subject to change with future business needs.  What makes our development environment unique:
  • Hands-on Learning
  • Test Driven Development (TDD)
  • Pair Programming
  • Agile Methodologies
  • Time provided for self-directed professional development
What you’ll be doing: 
  • Report to the Vice President of AI and Machine Learning
  • Build, lead and mentor teams or various disciplines
  • Provide strategic guidance and communicate roadmaps of an enterprise operational environment
  • Define, drive, and build the operations strategy for the department
  • Oversee the deployment and monitoring of machine learning models and tools
  • Stay up to date with the latest advancements in AI/ML research and industry trends
  • Collaborate with numerous stakeholders to discover and prioritize strategic initiatives
  • Establish and report on robust evaluation metrics and KPIs
  • Establish clear goals and objectives that align with Department and Corporate Game Plans
  • Ensure operations comply with security standards and regulations
  • Work with delivery partners, architects, and teams across CARFAX to support their AI/ML initiatives on the operations platform
What we’re looking for: 
  • 10+ years of software engineering or other related experience
  • 5+ years of experience leading DevOps teams
  • Strong interest in deploying and managing machine learning models in production environments.
  • Experience with AWS or other related cloud platforms.
  • Strong understanding of software engineering principles, CI/CD practices, Kubernetes and infrastructure automation tools
  • Proven track record of cross-functional project delivery
  • A track record of communicating well with executives and non-technical leaders.
  • BS in Computer Science/Engineering or related discipline
Preferred Qualifications: 
  • Experience in deploying and monitoring large-scale AI/ML systems in production environments
  • Strong understanding of ethical AI/ML practices, bias mitigation, and explainable AI.
  • Experience working in a research-driven environment and collaborating with data science and research teams.
  • Relevant certifications in DevOps, cloud platforms or AI/ML areas.
What’s in it for you: 
  • Competitive compensation, benefits and generous time-off policies
  • 4-Day summer work weeks and a winter holiday break
  • 401(k) / DCPP matching
  • Annual bonus program
  • Casual, dog-friendly, and innovative office spaces
  • For a comprehensive list of benefits, please visit our website: https://jobs.jobvite.com/carfax/p/benefitsDon’t just take our word for it: 
  • 10X Virginia Business Best Places to Work 
  • 10X Washington Post Top Workplace 
  • 9X Washingtonian Great Places to Work 
  • 3X St. Louis Post-Dispatch Best Places to Work 
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS CI/CD Computer Science DevOps Engineering KPIs Kubernetes Machine Learning ML models Research Security TDD

Perks/benefits: Career development Competitive pay Pet friendly Salary bonus

Regions: Europe North America
Countries: Canada United Kingdom

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