Find Devops engineer Jobs in Dunboyne, Mh

AI Forward Deployment Engineer (AI FDE)
Photon —Dublin, County Dublin
- From €60,000 an hour
- Full-time
- Azure
- DevOps
- System design
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12h
Commercial Sales Engineer (Dublin)
Datadog —Dublin, County Dublin
- DevOps
- Windows
- Linux
- Employee stock purchase plan
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1d

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AI Forward Deployment Engineer (AI FDE)
Photon —Dublin, County Dublin
Strong hands-on development mindset, with the expectation of spending *50–70% of time coding and implementing solutions*. NET/C# is a plus.
From €60,000 an hour
Quick apply
12h
Cloud Security | Senior Associate | Cyber Security | Technology Consulting
PwC —Dublin, County Dublin
Stay current with emerging Microsoft security technologies, threat landscape, and industry trends, and incorporate this knowledge into solution design and…

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AI Forward Deployment Engineer (AI FDE)

Photon -
Dublin, County Dublin

Quick apply

Job details

Permanent | Full-time
From €60,000 an hour
12 hours ago

Qualifications

TensorFlow
CI/CD
Azure
Node.js
DevOps
C#
NumPy
System design
Git
.NET
Microservices
AWS
JavaScript
Business requirements
AI
Python
Debugging

Full job description

Role Overview

We are seeking an experienced AI Forward Deployment Engineer (AI FDE) to design, develop, and deploy production-grade AI/ML solutions in collaboration with customers and internal engineering teams. This role requires a strong combination of software engineering expertise, AI/ML implementation experience, cloud-native development skills, and the ability to translate complex business requirements into scalable, real-world AI applications.

The ideal candidate is a hands-on technical expert who thrives in fast-paced environments, can architect solutions while remaining deeply involved in coding, and has experience taking AI/ML systems from concept through production deployment and ongoing optimization.

Key Responsibilities

Design, develop, and deploy end-to-end AI/ML applications that solve complex business problems.
Translate architectural designs and technical requirements into scalable, production-ready implementations.
Build and integrate AI/ML capabilities into enterprise applications using modern frameworks, APIs, and software engineering practices.
Develop scalable AI systems leveraging microservices, APIs, event-driven architectures, and cloud-native technologies.
Perform hands-on implementation across the AI/ML lifecycle, including data preparation, model integration, application development, deployment, debugging, and optimization.
Work with structured and unstructured data sources to build robust AI-driven solutions.
Design, implement, and optimize AI workloads on cloud platforms such as Azure or AWS.
Apply strong software engineering practices including version control, CI/CD, monitoring, logging, testing, and production support.
Collaborate with customers, product teams, and engineering teams to rapidly prototype, deploy, and improve AI solutions.
Act as a technical owner for assigned solutions, ensuring reliability, scalability, and operational readiness.

Required Qualifications

6+ years of professional experience in designing and developing AI/ML applications (maximum 15+ years overall experience).
Strong hands-on programming experience in Python with the ability to design and implement production-grade solutions.
Experience with JavaScript/Node.js or .NET/C# is a plus.
Proven experience in software architecture and system design, with the ability to translate concepts into working code.
Strong hands-on development mindset, with the expectation of spending 50–70% of time coding and implementing solutions.
Practical experience building AI/ML solutions end-to-end, including:
Data preparation and processing
Model integration and evaluation
Application development and deployment
Production troubleshooting and optimization
Experience with AI/ML frameworks such as Scikit-learn, TensorFlow, and/or PyTorch.
Experience designing and building scalable AI systems using APIs, microservices, and event-driven architectures.
Strong data engineering skills with hands-on experience using Pandas, NumPy, and working with structured and unstructured datasets.
Experience deploying and supporting AI workloads in cloud environments such as Microsoft Azure or AWS.
Strong understanding of DevOps and production engineering practices, including:
Git-based development workflows
CI/CD pipelines
Logging and monitoring
Application performance tuning
Production support and debugging

Pay: From €60,000.00 per hour

Work Location: In person

Quick apply

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devops engineer jobs in dunboyne, mh

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