4 дня назад
Customer Support Engineer (MLOps)
80 000 - 100 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Support Engineer (MLOps): Supporting and improving a Kubernetes-based MLOps platform for deploying and monitoring machine learning models with an accent on customer troubleshooting, software engineering, and cloud infrastructure. Focus on reproducing and fixing bugs, designing scalable microservices, writing automated tests, and managing infrastructure with Terraform and Helm.
Location: Toronto, Canada; remote-friendly position supporting the PST time zone
Base salary: CAD 80,000–100,000 per year
Company
is an AI cloud platform company developing open-source and enterprise technologies for generative and predictive AI, including MLOps solutions for deploying and monitoring machine learning models.
What you will do
- Engage with customers to identify and troubleshoot technical issues and answer questions.
- Analyze bug reports, reproduce issues, determine root causes, and provide fixes.
- Design approaches and patterns for new features and contribute production code with unit tests.
- Expand end-to-end automated test coverage for new changes.
- Review designs and code, promote software development best practices, and improve engineering efficiency.
- Write infrastructure code using Terraform and Helm charts while working extensively with Kubernetes.
Requirements
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- At least 1 year of hands-on software engineering experience in a similar role.
- Understanding of microservices patterns, large-scale software design, relational database design, and networking fundamentals.
- Strong knowledge of Linux, Bash, file systems, command-line tools, logging, and file permissions.
- Experience with Go, Python, C++, or Java with knowledge of Spring.
- At least 1 year of hands-on experience with Kubernetes and Docker, plus understanding of Terraform, Helm, and AWS, Azure, or GCP.
Nice to have
- Experience with gRPC, Scala, Akka, or Druid Database.
- Knowledge of machine learning frameworks and data science libraries such as scikit-learn, PyTorch, NumPy, and pandas.
Culture & Benefits
- Remote-friendly culture and flexible working environment.
- Career growth opportunities and participation in a world-class team.
- Market-leading total rewards.
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