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Senior MLOps Engineer - AWS SageMaker & Platform Engineering

Visionary Innovative Technology Solutions LLC • United State
Visa Sponsorship
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AI Summary

Design and implement enhancements for AWS-based Analytics and Data Science platforms with a primary focus on SageMaker. Develop automation, infrastructure-as-code, and CI/CD capabilities to improve platform scalability, security, and operational efficiency. Requires 7+ years of experience in cloud engineering, DevOps, and hands-on AWS services with strong Python and Terraform skills.

Key Highlights
Primary focus on AWS SageMaker and enterprise Data Science/ML platform engineering.
Strong emphasis on automation, infrastructure-as-code (Terraform), and CI/CD pipelines.
Responsible for cloud cost optimization (FinOps), security remediation, and platform modernization.

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Key Responsibilities
Design and implement enhancements for AWS-based Analytics and Data Science platforms, focusing on SageMaker.
Develop automation for platform provisioning, administration, maintenance, and recurring engineering activities.
Improve platform scalability, resiliency, observability, security, and performance.
Perform complex troubleshooting and root-cause analysis to implement durable engineering solutions.
Develop and enhance infrastructure-as-code and CI/CD capabilities using Terraform and GitLab.
Improve platform access, identity, integration, and self-service capabilities.
Address security and vulnerability remediation through automation and platform engineering.
Identify and implement cloud cost optimization and resource-efficiency improvements.
Contribute to Domino platform engineering and modernization activities.
Support SAS Grid Exit engineering activities, including migration and decommissioning.
Develop reusable engineering patterns, technical documentation, and runbooks.
Collaborate with Cloud Engineering, Information Security, DevOps, and other technology stakeholders.
Technical Skills Required
Amazon Web Services Python Terraform

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Benefits & Perks
Visa sponsorship available
Relocation assistance implied

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Nice to Have
Experience with Domino Data Lab or comparable enterprise Analytics/ML platforms.
Experience with Python-based Data Science and ML workloads.
Experience with GitLab pipelines and automated platform deployment.
Experience integrating developer-productivity or AI-assisted development capabilities.
Experience with AWS cost management/FinOps practices.
Experience with analytics-platform migrations and lifecycle modernization.
Familiarity with vulnerability-management and compliance engineering.
SAS experience

Job Description

Job Title :- ML Ops Engineer / 7+yrs / Relocation / All Visas are Accepted

Location :- Atlanta, GA ( 5 Days per Week Onsite )

Employment Type :- Full Time

Job Description :-

The Analytics CoE is seeking an experienced IT Engineer to provide hands-on engineering capacity across enterprise Analytics, Data Science, and Machine Learning platforms.

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Job Overview
Posted Date Oct 08, 2026
Employment Type Full-time
Experience Level Associate
Location United State
Category Devops
Company Visionary Innovative Technology Solutions LLC
Mentioned Skills
python ai sas aws devops terraform cloud infrastructure as code cloud native gitlab machine learning

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