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AI Engineer 2084 views

SmartKargo is looking for an Artificial Intelligence (AI) consulting resource to assist them with deliverables to support one of their clients. The assignment is expected to be for approximately six months, located in Montreal, Canada.

Mostly they are using Azure resources for AI.  So knowledge of Azure and AI components on Azure will be needed.  They have a team of data scientists, data engineers, web app developers, etc., so there is no coding involved in this role.

Their client is currently using the below resources on Azure:

Azure Data Lake, Azure Data Factory, Blob Storage, Web Apps, COSMOS DB, SQL DB, Azure Functions, Logic Apps, Key Vaults, Active Directory, Event Hub, App Insights, Azure Data Bricks,
Machine Learning Services, Redis Cache, Azure Front Door, Azure API Management, Virtual
Machines and Docker Containers.

Also, they are using Akamai as a web app firewall and also has integration with Unisys Web lynx, so
frequent coordination with these parties along with client IT security and client IT infrastructure
departments are needed.

The consultant is to perform the following services

 Accountable for the design of advanced analytics ecosystem
 Provide architectural guidance and support to technology stacks for cloud-based data-oriented services
 Drive and implement the recommendation (upstream) and its integration to downstream
for real-time analytics, operational analysis, and metrics/reporting.
 Develop architecture solutions to minimize risks and costs to include, but not limited to:

  •  non-integrated data architecture across stacks
  • duplicative solutions and data proliferation and
  • data lifecycle inefficiencies.

 Improve the architectural framework and process to develop platform solutions for projects.
 Develop a conceptual architecture with a modernized and service-oriented approach.
 Develop a balanced blueprint, maximizing traditional components and emerging
strategies of AI.
 Evaluate current state (data/platform architectures) and identify incremental
opportunities to improve operational efficiencies, delivery throughput, and "shift" to
modernized architecture methods and components.
 Collaborate to define data models and platform security requirements.
 Provide senior leadership guidance and direction.
 The consultant may be required to work evenings and weekends from time to time

Please respond to Mike Boudreau with your interest (see contact information below)
Mike Boudreau, CFO
QuantumID Technologies Inc. (dba SmartKargo)

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