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ML Engineer (Azure) at Dallas, Texas, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2132056&uid=

Hi,

One of our client is looking for ML Engineer (Azure) for the
Location Dallas, TX, Hybrid

Role
: ML Engineer (Azure)

Location
:

Dallas, TX, Hybrid

:

CTS

Experience
: 8+ years

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, pre-prod, non-prod) 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 self-starter with the ability to take independent action to achieve results.

Highly developed critical thinking, analytical, and problem-solving skills.

B.S. in Computer Science or related fields.

Thanks and Regards, 

Madhusudana

Recruitment Lead

Desk :

(408) 675-2480 | Ext 1000

Email Id:-

[email protected] 

Reqroute, Inc

1879 Lundy Ave , # 228 San Jose , CA 95131

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Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology California Idaho Texas
ML Engineer (Azure)
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2132056&uid=
[email protected]
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03:49 AM 31-Jan-25


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