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Machine Learning Engineer (SRE Focus)

Aziro Technologies LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Site Reliability Engineer

Kforce Technology Staffing

Remote or Austin, Texas • Today

Contract

$28 - $38 hourly

Site Reliability Engineer

Take2 Consulting

Remote • Today

Easy Apply

Contract

90,000 - 110,000

Site Reliability Engineer

Visionary Innovative Technology Solutions

Remote • Today

Easy Apply

Full-time

Depends on Experience

Site Reliability Engineer-Prometheus, Grafana, and OpenTelemetry (W2 Only)

New Millennium Consulting

Remote • 4d ago

Easy Apply

Contract

48 - 50

Senior Site Reliability Engineer

Tech Observer

Remote • 14d ago

Easy Apply

Contract

$70 - $80

Calypso SRE

Quinnox Inc

Remote • 12d ago

Easy Apply

Full-time

Depends on Experience

Lead Platform Engineer (SRE)

InfoVision, Inc.

Remote • 7d ago

Easy Apply

Contract

70 - 75

Site Reliability Engineer - Production Support

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

Principal SRE Architect

Fusion Global Solutions

Remote • 28d ago

Easy Apply

Third Party, Contract

Depends on Experience

SRE With Java Experience -100% Remote (Fulltime)

The Dignify Solutions, LLC

Remote • 20d ago

Easy Apply

Full-time, Third Party

$130000

100% REMOTE: Site Reliability Engineer (SRE) Observability & Monitoring

Parmesoft Inc.

Remote • 20d ago

Easy Apply

Third Party, Contract

$63 - $65

Site Reliability Engineer

Indotronix International Corp

Remote • 28d ago

Easy Apply

Contract

Lead Java Full Stack Engineer with SRE || Remote

Talent Vista Partners Inc

Remote • 27d ago

Full-time, Third Party

$125 - $130

Site Reliability Engineer

Leidos

Honolulu, Hawaii • Today

Full-time

USD 107,900.00 - 195,050.00 per year

Site Reliability Engineer

Origami Risk LLC

Remote • 4d ago

Full-time

USD 100,000.00 - 120,000.00 per year

Lead SRE Engineer

Fusion Global Solutions

Remote • 28d ago

Easy Apply

Contract, Third Party

Depends on Experience

Infrastructure/Cloud DevOps-SRE

Bayside Solutions

Remote • Today

Easy Apply

Contract

$55 - $65 per hour

Machine Learning Engineer ONLY W2

Aziro Technologies LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Staff Site Reliability Engineer

Circles Inc.

Remote or San Francisco, California • Today

Full-time

USD 195,000.00 - 257,500.00 per year

Staff Site Reliability Engineer

Filevine

Remote • Today

Full-time

USD 235,000.00 - 275,000.00 per year

Google Cloud Platform Database Site Reliability/Support Engineer (SCE)

VDart, Inc.

Remote • 2d ago

Easy Apply

Contract, Third Party

$55 - $60

Staff Site Reliability Engineer

Ping Identity

Remote • Today

Full-time

USD 136,000.00 - 181,000.00 per year

Staff Site Reliability Engineer

Tenex.AI Inc

Remote • Today

Full-time

Site Reliability Engineer (SRE)

StatusNeo Inc.

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Senior Site Reliability Engineer

Datavant

Remote • Today

Full-time

USD 168,000.00 - 200,000.00 per year

Senior Site Reliability Engineer (SRE)

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 120,000.00 - 175,000.00 per year

Site Reliability Engineer, USG

Aalyria

Remote • Today

Full-time

USD 125,000.00 - 150,000.00 per year

Principal Site Reliability Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 134,600.00 - 230,800.00 per year

Senior Site Reliability Engineer (SRE)

CenCore LLC

Remote or Springville, Utah • Today

Full-time

Aziro Technologies LLC

Job Details

Skills

Amazon Web Services
Machine Learning (ML)
Python
Reliability Engineering
SRE
Kubernetes
Linux
DevOps
Docker
Problem Solving
Operating Systems

Summary

Job Title: Machine Learning Engineer (SRE Focus)

Location: Remote

Job Summary:

We are seeking a skilled Machine Learning Engineer with a strong Site Reliability Engineering (SRE) mindset to join our team. The ideal candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging.

Key Responsibilities:

Maintain and support machine learning applications running on Windows and Linux servers in on-premises environments.
Manage and troubleshoot Kubernetes clusters hosting ML workloads.
Collaborate with data scientists and engineers to deploy machine learning models reliably and efficiently.
Implement and maintain monitoring and alerting solutions using DataDog to ensure system health and performance.
Debug and resolve issues in production environments using Python and monitoring tools.
Automate operational tasks to improve system reliability and scalability.
Ensure best practices in security, performance, and availability for ML applications.
Document system architecture, deployment processes, and troubleshooting guides.

Required Qualifications:

Proven experience working with Windows and Linux operating systems in production environments.
Hands-on experience managing on-premises servers and Kubernetes clusters and Docker containers
Strong proficiency in Python programming.
Solid understanding of machine learning concepts and workflows.
Experience with machine learning model deployment and lifecycle management.
Familiarity with monitoring and debugging tools, e.g. DataDog.
Ability to troubleshoot complex issues in distributed systems.
Experience with CI/CD pipelines for ML applications.
Familiarity with AWS cloud platforms
Background in Site Reliability Engineering or DevOps practices.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10426227
Position Id: 9097498
Posted 1 day ago

Company Info

About Aziro Technologies LLC

Aziro (formerly MSys Technologies and pronounced as "Ah-zee-roh") is an AI-native product engineering company driving innovation-led transformation for global enterprises, high-growth ISVs, and AI-first pioneers.

Go to company profile

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Contact the job poster

Shaik Riyaz

Recruiter @ Aziro Technologies LLC

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Similar Jobs

Machine Learning Engineer

Remote

•

Today

Job Title: Machine Learning Engineer (SRE Focus) Location: Remote Job Summary: We are seeking a skilled Machine Learning Engineer with a strong Site Reliability Engineering (SRE) mindset to join our team. The ideal candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and pract

Easy Apply

Contract

$60 - $80

Machine Learning Engineer ONLY W2

Remote

•

Today

Job Summary: We are seeking a skilled Machine Learning Engineer with a strong Site Reliability Engineering (SRE) mindset to join our team. The ideal candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging.

Easy Apply

Contract

Depends on Experience

Aziro Technologies LLC

Job Details

Skills

Amazon Web Services
Machine Learning (ML)
Python
Reliability Engineering
SRE
Kubernetes
Linux
DevOps
Docker
Problem Solving
Operating Systems

Summary

Job Title: Machine Learning Engineer (SRE Focus)

Location: Remote

Job Summary:

Key Responsibilities:

Maintain and support machine learning applications running on Windows and Linux servers in on-premises environments.
Manage and troubleshoot Kubernetes clusters hosting ML workloads.
Collaborate with data scientists and engineers to deploy machine learning models reliably and efficiently.
Implement and maintain monitoring and alerting solutions using DataDog to ensure system health and performance.
Debug and resolve issues in production environments using Python and monitoring tools.
Automate operational tasks to improve system reliability and scalability.
Ensure best practices in security, performance, and availability for ML applications.
Document system architecture, deployment processes, and troubleshooting guides.

Required Qualifications:

Proven experience working with Windows and Linux operating systems in production environments.
Hands-on experience managing on-premises servers and Kubernetes clusters and Docker containers
Strong proficiency in Python programming.
Solid understanding of machine learning concepts and workflows.
Experience with machine learning model deployment and lifecycle management.
Familiarity with monitoring and debugging tools, e.g. DataDog.
Ability to troubleshoot complex issues in distributed systems.
Experience with CI/CD pipelines for ML applications.
Familiarity with AWS cloud platforms
Background in Site Reliability Engineering or DevOps practices.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills

Dice Id: 10426227
Position Id: 9097498
Posted 1 day ago

Company Info

About Aziro Technologies LLC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Shaik Riyaz

Recruiter @ Aziro Technologies LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Machine Learning Engineer

Remote

•

Today

Easy Apply

Contract

$60 - $80

Machine Learning Engineer ONLY W2

Remote

•

Today

Easy Apply

Contract

Depends on Experience