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Required MLOps Engineer with Sagemaker - Remote at Remote, Remote, USA
Email: [email protected]
Hello,

Momento USA is a global technology consulting, talent
acquisition and creative development firm that addresses clients' most pressing
needs and challenges.

We are currently looking for AWS MLOps Engineer with
Sagemaker - Remote. Please see the job description below for your reference

Position : AWS Dev/Ops Engineer with Sage maker

Hourly Rate : Market

Duration : Long term

Location: Remote

Works with the Data Science
team to ensure deployment of ML Models using Terraform as IaC(Infrastructure as
code), Design, build and configure Terraform templates . CICD pipelines to build
the infrastructure.

Key Responsibilities:

This position requires resources to
come from a cloud infrastructure background and well versed in deploying AWS
Sage Maker objects, also needs understanding on security infrastructure,
networking knowledge in AWS and Dev/OPS process.

Technical Experience:

Experience in IaC with terraform.

Experience in deploying the AWS
Sage maker components.

Have exposure and understanding of
IaC DevOps CICD architecture and design.

Oversee overall cloud
infrastructure, security, storage, networking, system, integration, design, and
implementation.

Safeguard best practices and fit
into existing client compliance security framework.

Exposure to cloud/data security
work.

Experience in architecting and
designing an enterprise level architecture.

Qualifications

Bachelor's Computer Engineering,
Informatics, MIS, or related field

Minimum 5 years of terraform
experience with AWS and Overall, 10-12 Years if industry experience

Minimum 3 years of AWS cloud
experience (services like Sage maker, S3 ,IAM, Cloud watch, Lambda, ECR)

Expertise in developing Dev/Ops
CI CD Pipelines

At least 2 years of Python
Experience

Would prefer if the candidate has
any previous experience with Data tools (ETL, Data Engineering)

Experience in Configuration
Management,

Experience working with CI/CD tools
like Jenkins and GitLab

Bonuses

Machine Learning Model deployments
are a bonus.

Passion to learn and develop new
skills and technologies as per requirement.

Exposure to healthcare and / or
insurance Domains

Thanks,

Adil M

Sr. Technical Lead

Momento
USA
| Exceeding Customer Expectations

Email: 
[email protected]

--

Keywords: continuous integration continuous deployment machine learning sthree information technology
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Tue Feb 06 00:46:00 UTC 2024

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