AI Architect with Azure Cloud
AI Architect with Azure Cloud
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Hi All
Please note that the role we recently posted is now 100% remote. Kindly update and refine your candidate search accordingly. The following skills are mandatory and the customer is particularly interested in profiles that match these criteria
- Design deploy and manage Azure Cognitive Services including Speech Services Text Translation OpenAI and Azure Search. Mandatory
- Utilize Azure AI Studio and Azure ML Studio to develop train and deploy machine learning models. Mandatory
Position Details
Requirement
No of Positions
1
Role
AI Architect with Azure Cloud Engineering
Location
Tampa FL or Bloomfield CT (Hybrid Model) 3 Days in a Week Only Local candidates.
Type of Hire Contract/ C2H
6 Months Contract to Hire
Duration
6 Months
Number of Interviews
L1HRClient
Inperson interviews Yes/No
No
Client Interview Yes/No
Yes
No of submission (example not more than 3 resumes)
3 submissions
Timeline for submission
2 hours
Position requirements (Remote/ Hybrid/Fully onsite)
Onsite
Job Description
About the Role:
We are seeking a highly skilled Azure Cloud Engineer with extensive experience in deploying and managing Azure Cognitive Services including Speech Services Text Translation OpenAI and Azure Search. Additionally the ideal candidate will have handson experience with Azure AI Studio and Azure Machine Learning (ML) Studio. The successful candidate will be adept at creating and managing Terraform configurations to provision and manage Azure resources. This role requires a deep understanding of Azure infrastructure the ability to prototype and proofofconcept (POC) in enterprise environments and a strong grasp of best practices in cloud architecture.
Key Responsibilities:
Design deploy and manage Azure Cognitive Services including Speech Services Text Translation OpenAI and Azure Search.
Utilize Azure AI Studio and Azure ML Studio to develop train and deploy machine learning models.
Develop and maintain Terraform configurations to automate the provisioning and management of Azure resources.
Collaborate with crossfunctional teams to define and implement cloud solutions that meet business requirements.
Perform POC and prototype solutions to demonstrate feasibility and value in enterprise environments.
Monitor and optimize the performance security and cost of Azure services.
Ensure compliance with industry standards and best practices for cloud security and governance.
Troubleshoot and resolve issues related to Azure infrastructure and services.
Document processes configurations and best practices.
Required Skills and Qualifications:
Azure Expertise: Strong experience with Azure Cognitive Services (Speech Services Text Translation OpenAI Azure Search) and other Azure services.
Azure AI and ML: Handson experience with Azure AI Studio and Azure ML Studio for developing and deploying machine learning models.
Terraform Proficiency: Demonstrated experience in writing and managing Terraform configurations for Azure resource provisioning.
Cloud Architecture: Solid understanding of cloud architecture principles best practices and design patterns.
Scripting Proficiency: Proficiency in scripting languages such as PowerShell Bash or Python for automation and orchestration.
Enterprise Experience: Proven ability to conduct POC and prototype solutions in largescale enterprise environments.
Networking and Security: Knowledge of Azure networking security and compliance best practices.
ProblemSolving Skills: Strong analytical and troubleshooting skills to diagnose and resolve complex issues.
Collaboration and Communication: Excellent communication skills and the ability to work effectively in a collaborative team environment.
Certifications: Azure certifications (e.g. Azure Solutions Architect Azure DevOps Engineer) are highly desirable.
Preferred Skills:
Experience with other Infrastructure as Code (IaC) tools like ARM templates or Ansible.
Familiarity with CI/CD pipelines and tools such as Azure DevOps or GitHub Actions.
Knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes.
Experience with monitoring and logging tools such as Azure Monitor Log Analytics or Splunk.
AI/ML,Azure AI Studio,Azure ML Studio,Azure Cloud
Employment Type
Full Time
