Job Description
Experience (Years) : 6-8
Essential Skills :
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.
- Highly developed critical thinking, analytical and problem solving skills
Requirements
Primary Skills
- Deep technical understanding of Windows operating systems up to and including Windows 10 / 11 / Server 2019
- Experience with Windows 10 / 11 Intune Modern Management.
- Expertise with SCCM OSD orchestration and software delivery concepts. Knowledge of common Windows Infrastructure i.e. Active Directory / GPO / DFS / PKI.
- Advanced scripting skills with PowerShell.
- Extensive experience with Enterprise workloads migration to the cloud such as network drives content to Microsoft OneDrive for Business.
- Knowledge of common Windows Infrastructure technologies including Active Directory, Group Policy, DNS / NRPT, PKI / CA, RADIUS, NPS, etc.
- Strong troubleshooting mindset (i.e. parsing event logs, SysInternals tools, analysing memory dumps etc).
- Experience automating workflows and providing self service capability.
- Client / Server hardware knowledge and management in an enterprise environment.
- Experience designing technical solutions to meet complex business requirements.
- Ability to author technical and operational management documentation including design and support docs, operational runbooks, internal knowledge base articles, etc Secondary Skills
- Experience of Windows Modern Management (Intune, Autopilot, Windows Virtual Desktop, etc)
- Desktop / Laptop Hardware Knowledge and Management in an enterprise environment (i.e. driver, firmware, bios management).
- Understanding of Agile principles and how to apply them.
- Infrastructure systems including experience with Jira.
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