Azure ML Developer
Azure ML Developer
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Job Description
Job Summary:
We are seeking a highly skilled Developer with expertise in ML Kube Sagema Azure ML Admin and Azure ML Studio. The ideal candidate will have 5 to 8 years of experience and will work in a hybrid model during day shifts. This role does not require travel. The Azure ML Developer will be responsible for managing projects ensuring data accuracy and leveraging machine learning techniques to drive insights and solutions.
Required Skills:
ML/Kube/Sagema/Azure ML Admin
Azure ML Studio
CI/CD
Terraform and Python
Responsibilities:
As an Azure ML Platform Engineer work with internal architects Cloud Platform Engineering and Pricing and Yield Management IT application teams to design and develop reliable scalable secure and auditable ML environments for business needs.
Collaborate with Pricing IT and BU teams to migrate Pricing 2.0 (ML and optimizer models) to the new environment.
Review the current ML architecture identify gaps and design a resiliency solution.
Implement the design for all environments.
Implement and test High Availability and Disaster Recovery strategies by design.
Develop best practice guidelines for common patterns in development deployment and operations.
Develop defined CI/CD pipelines for application deployment automation.
Establish monitoring and auditing processes for environment health run status and access.
Create a dashboard and notification system to report costs for each subgroup of Revenue Management (Pricing YM IT Prod preprod nonprod) for cost management.
Enhance current security controls for users and process authorization.
Onboard Pricing 2.0 to the enhanced environments.
Azure ML platform development and support.
Qualifications:
3 years of AI/ML platform engineering experience.
3 years of experience developing platform orchestration code in Azure.
Proficiency in Azure CLI Python Terraform and understanding of Java.
Strong experience with delivering Cloud Infrastructure as Code leveraging CI/CD Terraform and Git Actions.
Experience with AI ecosystem tooling AIOps (evaluation monitoring governance security).
Must be a selfstarter with the ability to take independent action to achieve results.
Highly developed critical thinking analytical and problemsolving skills.
B.S. in Computer Science or related fields.
Employment Type
Full Time
