Find Of security engineering ai/ml Jobs in Dublin, D

Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
1d
Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
12d
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Data Engineer III - Databricks
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Agile
Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Head of Responsible AI- Vice President
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Doctoral degree
- Computer Science
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
2d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
3d
Lead AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- AWS
- AI
Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
3d
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
13d
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
Senior Software Engineer - AI App Enablement & Observability
Bloomberg —Dublin, County Dublin
- Azure
- Master's degree
- AWS

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Software Developer, Scaled Ops AI Acceleration Team

Meta -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

Law
Computer Science
React
Data analysis skills
Master's degree
SQL
Bachelor's degree
JavaScript
REST
Computer Engineering
AI
Business
Python
Debugging

Full job description

Meta is seeking experienced Software Developer to join the Scaled Operations AI Accelerator Team. This small team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Software Developer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and managing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations.

Software Developer, Scaled Ops AI Acceleration Team Responsibilities:

Full stack development. Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes
Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies
Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needs
Apply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systems
Manage and guide contractor workers and/or vendor workers in the development and delivery of technical solutions, ensuring quality, compliance, and alignment with team objectives
Ensure all solutions adhere to Meta’s security, privacy, and compliance requirements
Communicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiences
Stay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvement
Contribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
Track, analyze, and report on key metrics and business impact of automation initiatives

Minimum Qualifications:

8+ years of experience in software engineering, support engineering, reliability engineering or related
6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical field
Bachelor’s degree in Computer Science, Computer Engineering, related technical field, or equivalent experience
Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
Experience in communicating with technical and business audiences and creating technical documentation
Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)
Experience supporting and guiding contractor workers and/or vendor workers in technical solution delivery
Demonstrated collaborate in cross-functional teams and deliver results in a demanding environment

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with Meta’s internal tools and platforms
Familiarity with Scaled Operations processes and workflows
Advanced degree in Computer Science, Engineering, or related field
Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Apply Now

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of security engineering ai/ml jobs in dublin, d

Software Developer, Scaled Ops AI Acceleration Team

Senior AI Engineer

Principal Cybersecurity Architect

Software Engineer - Observability

Senior AI Engineer

Forward Deployed Engineer III, GCC (French, German)

Sr. SDE, Amazon Email Services

Director of Software Engineering

Data Engineer III - Databricks

Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion

Head of Responsible AI- Vice President

Data Engineering Team Lead - Databricks

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Director, Software Engineering

Lead AI Engineer

Specialist, Product Management - AI

Senior Manager of Data Engineering

Founding Backend Engineer (Java)

Senior Product Manager, GenAI Content Safety

Senior Software Engineer - AI App Enablement & Observability

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