Offer summary

Qualifications:

2 years of experience as an AI and cloud platform engineer, Proficiency in Azure Python SDK, Terraform, and GitHub Runners, Strong understanding of cloud security, compliance, and infrastructure as code (IaC), Demonstrated critical thinking and problem-solving skills..

Key responsabilities:

Deliver enterprise data services and solutions on Azure focusing on AI technologies

Collaborate with cross-functional teams to implement secure Azure AI solutions

Develop and manage pipelines for training and production models

Ensure compliance with security and regulatory requirements in cloud solutions.

Job description

Contract | Hybrid US

We are seeking a skilled professional to deliver enterprise data services, capabilities, and solutions on Azure. The ideal candidate will have prior experience with AI and cloud technologies, specifically within the financial services sector, and an understanding of the associated security and regulatory requirements. This role focuses on Azure AI and related services.

You will collaborate with cloud engineering, network, security, and risk management teams to deliver secure Azure AI solutions that adhere to company security policies and standards. Additionally, you will work with developers in our Azure engineering team and various business units to implement and continuously improve frameworks and tools that support the automation of AI services.

Roles and Responsibilities:

Passionate about deep learning and natural language models
Adopt an AIOps/MLOps mindset, enabling services and developing pipelines for managing training and production models
Collaborate with internal application development teams to leverage AI services to address business objectives
Understand security, risks, and mitigations to securely load data and training models into the Cloud
Possess programming skills with experience in API and Webhook development using Python, Git Actions, and Terraform
Write and use Azure Resource Manager (ARM) and Terraform templates
Understand Azure security features, including data protection, authentication, and RBAC
Comprehend Public Key Infrastructure (PKI) and manage public and private key certificates in the Azure environment for PaaS services and applications
Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, and routing issues
Proficiency in cloud automation using native Azure CLI
Understand concepts related to deploying platform and data analytics via CI/CD pipelines
Ensure all cloud solutions comply with internally defined security and compliance controls
Develop and consume APIs, SDKs, and Webhooks for multi-directional integration of cloud orchestration platforms with enterprise systems, DevOps tools, and cloud platforms
Participate in fast-paced DevOps engineering teams within Scrum agile processes
Exhibit critical thinking with strong research and analytical skills
Self-motivated with a positive attitude and an ability to work independently and within a team

Required Skills:

2 years of experience as an AI and cloud platform engineer
2 years of experience developing platform orchestration code using Azure Python SDK, Terraform, and GitHub Runners
Strong expertise in 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 with the demonstrated ability to take independent action to achieve results
Highly developed critical thinking, analytical, and problem-solving skills

Required profile