Job Title: Senior ML Cloud Infrastructure Engineer

Location: Toronto, Ontario

Duration: 06 Months

Experience Required: 8 years

Required Skills & Qualifications

- Experience in designing and building robust infrastructure on AWS.
- Proficiency with cloud infrastructure deployment and management using Azure.
- Hands-on experience with CICD pipelines.
- Proficiency in one of the following programming languages: TypeScript, NodeJS, Python 3 Boto.
- Experience with cloud provisioning using CDK or Terraform.

Preferred Skills & Qualifications

- Experience with AI and Machine Learning solutions.
- Understanding of DevOps practices enabled with CDK and CDKTF.
- Experience in architecting scalable low-latency systems.
- Familiarity with capacity planning framework design and data pipelines.
- Experience in disaster recovery services.





Day-to-Day Responsibilities

- Collaborate with a team of Cloud engineers to design and build infrastructure on AWS.
- Work with Development teams to understand technical requirements and provision AWS Platform services.
- Collaborate with Product Managers to develop tools for experimentation, ML model training, and production operations.
- Promote software development best practices and conduct rigorous code reviews.
- Balance and prioritize projects to maximize efficiency and achieve company objectives.

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Senior ML Cloud Infrastructure Engineer in Toronto, Ontario
🏢 Artech
📍 Toronto