Senior Azure AI / ML Engineer

Roles and Responsibilities:

• Passionate about deep learning and natural language models
• AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models. 
• Collaborate with internal application development teams to leverage AI/ML services to solve business objectives
• 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)
• Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for Paas services and applications
• 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.