Find Engineer ml platform Jobs in Dublin, D

Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Principal Full Stack Software Engineer – eCommerce Platforms
Abbott Laboratories —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
10d
Senior MLOps Engineer
MUFG Investor Services —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- AI
Quick apply
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Safety Engineer
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- DevOps
- Data analysis skills
- SQL
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
8d
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Databricks Senior Data Engineer
Citco —Dublin, County Dublin
- Full-time
- SQL
- AWS
- Analysis skills
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Software Development Manager, Network Monitoring and Remediation
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Team management
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
Staff Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Annual leave
- Work from home
Director of Cloud, Enterprise Operations
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- English
4d
Solutions Engineer (Dublin)
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Linux
Quick apply

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Business Support Engineer

Meta -
Dublin, County Dublin

Apply Now

Job details

Qualifications

Law
React
Kubernetes
Master's degree
SQL
Docker
JavaScript
Distributed systems
REST
Mentoring
AI
Python
Debugging

Full job description

Meta recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we’re looking for an engineer to play a pivotal role supporting Meta’s partners bringing demonstrated experience in distributed systems and AI-driven solutions and a track record of improving end-to-end support experiences.As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.

Business Support Engineer Responsibilities:

Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction
Troubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering craftsmanship
Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
Build, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to production
Develop performance monitoring systems for partner integrations to ensure high availability
leverage metrics to proactively identify issues and drive improvements across teams
Provide 24/7 oncall support coverage via rotation schedule (including weekends)
Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement
Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally
Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project execution

Minimum Qualifications:

3+ Years of experience as Software engineering or Site Reliability Engineering background
Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta Partners
Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
Knowledge of fine-tuning and optimization of PyTorch models and and experience with at least one LLM such as Llama, GPT, Claude, or Falcon
Experience in communicating with technical and business audiences and writing technical documentation
Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Preferred Qualifications:

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in partner-facing or customer-centric engineering roles
Experience transforming data, model selection/training/optimization, and deployment at scale
Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience building cloud solutions on any cloud
Experience collaborating in cross-cultural engineering environments with international stakeholders
Hands-on experience working with large language models and AI agents
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.

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engineer ml platform jobs in dublin, d

Business Support Engineer

Senior Core Technologies Engineer

Principal Full Stack Software Engineer – eCommerce Platforms

Principal Data Product Engineer — Data Ontology & Metadata

Senior MLOps Engineer

Senior Manager of Data Engineering

Principal Data Scientist

Safety Engineer

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

Data Engineering Team Lead - Databricks

Databricks Senior Data Engineer

Senior Staff Machine Learning Scientist, Recommendations

Software Development Manager, Network Monitoring and Remediation

Partner Solutions Architect

Forward Deployed Engineer II, GCC (French, German)

Senior Staff Machine Learning Scientist, Recommendations

Senior Software Engineer, Cloud Security

Staff Forward Deployed Engineer

Director of Cloud, Enterprise Operations

Solutions Engineer (Dublin)

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