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AI/ML Cloud Engineer

cyberThink, Inc.

Austin, Texas • Today

Easy Apply

Contract

$80 - $90

ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration

Annapurna Labs (U.S.) Inc.

Austin, Texas • Today

Full-time

AI Cloud Engineer - Austin TX - ONSITE

Conquest Consulting

Austin, Texas • 21d ago

Easy Apply

Contract

$65 - $70

Cloud AI Engineer

Texas Health and Human Services Commission

Austin, Texas • Today

Full-time

USD 8,488.33 - 12,833.33 per month

Software Engineer (AI/ML)

KLA

Austin, Texas • Today

Full-time

USD 97,600.00 - 165,900.00 per year

Full Stack Software Engineer, AI/ML Tools

Apple, Inc.

Austin, Texas • Today

Full-time

Artificial Intelligence/Machine Learning Engineer 2 - Intern

Apex Systems

Austin, Texas • Today

Easy Apply

Full-time

$30 - $37 per hour

2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

AMD (Advanced Micro Devices)

Austin, Texas • Today

Full-time

USD 99,840.00 per year

2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

AMD (Advanced Micro Devices)

Austin, Texas • Today

Full-time

USD 60,320.00 per year

AI/ML Intern (Level II)

HireBlazer

Austin, Texas • Today

Easy Apply

Contract

Site Reliability Engineer, Apple Data Platform - AI/ML Platform

Apple, Inc.

Austin, Texas • Today

Full-time

Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Annapurna Labs (U.S.) Inc.

Austin, Texas • Today

Full-time

Junior level AI/ML role

Trail Blazer Consulting LLC

Austin, Texas • Today

Easy Apply

Contract

25 - 28

Senior Embedded Software Engineer - Inference AI/ML

Allen Control Systems

Austin, Texas • Today

Full-time

USD 195,000.00 - 261,000.00 per year

AI/ML Intern

Xpedient Technologies, LLC

Hybrid in Austin, Texas • 14d ago

Easy Apply

Contract

Depends on Experience

AI/ML Logic Design Engineer-Senior

Qualcomm Technologies

Austin, Texas • Today

Full-time

USD 127,200.00 - 190,800.00 per year

Senior Machine Learning and Artificial Intelligence Scientist

General Motors

Austin, Texas • Today

Full-time

USD 159,800.00 - 244,300.00 per year

Director AI/ML Driven ASIC Design and Implementation Automation

NXP Semiconductors N.V.

Austin, Texas • Today

Full-time

Senior Account/ Sales Executive (AI, Data & Cloud Services)

Connect Tech+Talent

Austin, Texas • Today

Easy Apply

Full-time

Depends on Experience

AI Security Engineer

Talent Software Services, Inc

Round Rock, Texas • 15d ago

Easy Apply

Third Party, Contract

$60 - $85

Staff Machine Learning Engineer

webAI Inc

Remote or Austin, Texas • Today

Full-time

Senior Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, Texas • Today

Full-time

USD 185,000.00 - 230,000.00 per year

Machine Learning Engineer

Rivago infotech inc

Austin, Texas • 2d ago

Easy Apply

Third Party, Contract

55 - 60

Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, Texas • Today

Full-time

USD 140,000.00 - 165,000.00 per year

Senior Machine Learning Engineer, Voice Assistant

Roku

Austin, Texas • Today

Full-time

Staff Machine Learning Engineer - News, Books, and Stocks Team

Apple, Inc.

Austin, Texas • Today

Full-time

Senior ML Engineer

Rivago infotech inc

Austin, Texas • Yesterday

Easy Apply

Contract, Third Party

60 - 65

Cloud Engineer

Electronic Arts

Austin, Texas • Today

Full-time

Senior Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, Texas • Today

Full-time

USD 163,000.00 - 261,000.00 per year

Software Development Engineer , Annapurna ML

Annapurna Labs (U.S.) Inc.

Austin, Texas • Today

Full-time

Job Details

Skills

.NET
Actimize
Agile
Amazon Web Services
Apache Kafka
AppDynamics
Artificial Intelligence
Bash
Capacity Management
Cloud Computing
Collaboration
Communication
Computer Networking
Computer Science
Continuous Delivery
Continuous Integration
DHCP
DNS
Dashboard
Database
Dragon NaturallySpeaking
Financial Services
Firewall
Forecasting
GitHub
Good Clinical Practice
Google Cloud Platform
High Availability
IBM WebSphere MQ
Instrumentation
Microsoft Azure
Microsoft Windows
Microsoft Windows Administration
Migration
Java
Jenkins
Kubernetes
Linux
Machine Learning (ML)
Management
MongoDB
Optimization
Oracle
Orchestration
Process Improvement
Product Development
Python
RabbitMQ
Real-time
Routing
SQL
SaaS
Scripting
Scrum
Software Development Methodology
Splunk
System Administration
Systems Engineering
Trend Analysis
Virtual Machines
Windows PowerShell
Workflow
Writing
Programming Languages

.NET
Actimize
Agile
Amazon Web Services
Apache Kafka
AppDynamics
Artificial Intelligence
Bash
Capacity Management
Cloud Computing
Collaboration
Communication
Computer Networking
Computer Science
Continuous Delivery
Continuous Integration
DHCP
DNS
Dashboard
Database
Dragon NaturallySpeaking
Financial Services
Firewall
Forecasting
GitHub
Good Clinical Practice
Google Cloud Platform
High Availability
IBM WebSphere MQ
Instrumentation
Microsoft Azure
Microsoft Windows
Microsoft Windows Administration
Migration
Java
Jenkins
Kubernetes
Linux
Machine Learning (ML)
Management
MongoDB
Optimization
Oracle
Orchestration
Process Improvement
Product Development
Python
RabbitMQ
Real-time
Routing
SQL
SaaS
Scripting
Scrum
Software Development Methodology
Splunk
System Administration
Systems Engineering
Trend Analysis
Virtual Machines
Windows PowerShell
Workflow
Writing
Programming Languages

Summary

Job Description:

Our Opportunity:

We are looking for a skilled engineer with disciplines that incorporate aspects of software systems engineering and operations. We are combining these skills to come up with better ways of managing and operating applications including AI/ML-driven approaches to observability and reliability.

What you ll do:

Evangelize SRE mindset and solve problems through systematization.
Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications.
Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput.
Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems - including anomaly detection and predictive alerting to improve platform reliability.
Lead expansion of automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.
Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise and support on key initiatives for system availability and reliability.
Triage alerts and diagnose/resolve critical issues; manage implementation of changes with clear communication and minimal risk.
Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications; leverage AI/ML capabilities to enhance operational visibility and rollout validation at scale.
Champion AIOps platform adoption and ML-assisted observability practices across the team.
Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.
Develop CI/CD orchestration systems to reduce friction for software delivery to production; drive adoption of GitOps concepts and AI-assisted pipeline optimization.
Real-time troubleshooting of mission-critical application workflows and incorporate feedback into product development.
Participate in on-call support.

What do you have:

Required Skills:

6-8 years of experience with enterprise-level administration and support.
6-8 years of experience writing automation scripts, building application dashboards for proactive monitoring, and setting up alerts for early issue determination.
6-8 years practicing SDLC, process improvements.
Hands-on enterprise systems administration, monitoring, and deployment activities.
Experience with Windows 2019/2022 and Linux hosted via Virtual Machine.
Experience in Cloud application configuration, deployment, support, and migration - Google Cloud Platform/PCF is a plus.
Knowledge of IP networking including DNS, DHCP, firewalls, IP routing, etc.
Familiarity with large-scale distributed systems and high-availability architecture.
Linux and Windows system administration, troubleshooting, and tuning.
Development experience in one or more programming languages: .NET, PowerShell, Java, Python, Bash.
Knowledge of one or more of SQL, Oracle, MongoDB databases.
Working knowledge of Actimize.
Knowledge of one or more Message Brokers: Solace, RabbitMQ, IBM MQ, Kafka.
Knowledge of Splunk, AppDynamics, or similar observability tools.
Demonstrated experience applying AI/ML or AIOps approaches (e.g., anomaly detection, predictive alerting, ML-assisted observability) in production environments.
Bachelor's degree in computer science or related discipline.

Helpful Skills:

Financial services industry experience.
Agile methodologies.
Hands-on experience with AIOps platforms or ML-driven observability tooling.
Experience integrating AI/ML capabilities into CI/CD or operational automation workflows.
Familiarity with CI/CD tools (Harness, Jenkins, GitHub Actions) or GitOps concepts.
Exposure to container orchestration (Kubernetes, OpenShift) or cloud platforms (AWS, Azure, Google Cloud Platform).

Personal Skills:

Strong customer orientation with an affinity to proactively own, communicate, and follow through on projects and issues.
Extreme sense of ownership to resolve problems in a distributed environment.
Gritty resolve to dig deeper into technical issues in a complex login ecosystem.
A self-starter with the ability and confidence to independently resolve issues and bring results back to the team.

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: cybrthnk
Position Id: 9082218
Posted 5 hours ago

Fitment

Dice Job Match Score™

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Contact the job poster

Praveen Sathravada

Recruiter @ cyberThink, Inc.

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Austin, Texas

•

Today

Location: Austin, TX Salary: $75.00 USD Hourly - $80.00 USD Hourly Description: Role: Senior Site Reliability Engineer / DevOps Engineer (AIOps & Observability) Work Arrangement: Hybrid (4 days weekly on-site in Austin, TX) Position Type: 6+ Month Contract About the Role Our client, a premier financial services and technology organization, is seeking an experienced Site Reliability Engineer (SRE) / DevOps Engineer to modernize platform operations across enterprise cloud and authentication ecos

Contract

USD 75.00 - 80.00 per hour

Senior SRE AIOps & Automation

Austin, Texas

•

Today

Job Title: Senior SRE AIOps & AutomationLocation: Austin, TexasJob Description: Evangelize SRE mindset and solve problems through systematization. Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications. Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput

Easy Apply

Contract

Depends on Experience

Sr. SRE - Site Reliability Engineer

Austin, Texas

•

Today

Your Opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Schwab Technology Services (STS) enables the future of how clients manage their money by delivering innovative and reliab

Full-time

USD 150,000.00 - 162,000.00 per year

SRE Automation Engineer

Hybrid in Austin, Texas

•

Today

Title: Sr. SRE Automation Engineer Location: Austin, TX (Hybrid 3 Days Onsite / Week) Contract (W2) Job Description: Evangelize SRE mindset and solve problems through systematization. Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications. Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manua

Easy Apply

Contract

Depends on Experience