Ai/ml DevOps
1 week ago
**ROLE : AI/ML DEVOPS**
**LOCATION : TORONTO,ON**
**JOB DESCRIPTION**:
? Passionate about deep learning and natural language models
? AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models.
? Understand security, risks and mitigations to load data and training models securely into Cloud
? Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
? Write and use Azure RM and Terraform templates
? Understand Azure security features (data protection, authentication, RBAC, etc)
? Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, routing
? Proficiency in cloud automation using native Azure CLI
? Understand concepts related to deploying platform and data analytics via CI/CD pipeline
? Ensure that all cloud solutions follow internally defined security and compliance controls
? Develop/Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms
? Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
? A critical thinker with strong research and analytics skills
? Self-motivated with a positive attitude and an ability to work independently and in a team
**Required Skills**:
? 2+ years AI and ML platform engineer
? 2+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
? Strong expertise with delivering Cloud Infrastructure As Code (IAC) leveraging CI/CD pipelines, Terraform and Git Actions.
? Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
? Must be a self-starter, demonstrated ability to take independent action to achieve results.
? Highly developed critical thinking, analytical and problem solving skills
Competencies: Digital : Azure Machine Learning (ML)
Experience (Years): 6-8
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