Find Machine learning software development engineer, ai ops Jobs in Carrickmines, D

Software Developer, Scaled Ops AI Acceleration Team
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Learnosity —Dublin, County Dublin
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The Irish Times —Dublin, County Dublin
- Full-time
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2K —Dublin, County Dublin
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Guidewire Software —Dublin, County Dublin
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Keurig Dr Pepper —Dublin, County Dublin
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Success Architect - Agentforce/Data Cloud (French Speaker)
Salesforce —Dublin, County Dublin
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Uniphar PLC —DUBLIN 24, County Dublin
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Klaviyo —Dublin, County Dublin
- €144,000–€216,000 a year
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Ripple —Dublin, County Dublin
- Full-time
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PCIE SOC Application Engineer (Sr Staff)
Synopsys —Dublin, County Dublin
- Master's degree
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5d
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
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5d

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Software Developer, Scaled Ops AI Acceleration Team

Meta -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 days 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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machine learning software development engineer, ai ops jobs in carrickmines, d

Software Developer, Scaled Ops AI Acceleration Team

Forward Deployed Engineer II, GCC (French, German)

Senior Data Engineer — Lab Data Pipelines & Data Mesh

AI Lead, Manufacturing & Supply Chain

Data Engineering Lead – English Speaker – Office Based

Staff Engineer, Site Reliability

Customer Account Specialist, Customer Operations

Engineering Manager

Senior Data Engineer

Director of Data Engineering

Talent Attraction Operations Manager

Vice President. Client Partner. Banking & Capital Markets.

Senior Manager - Commercial Operations

Senior Cloud Support Engineer

Success Architect - Agentforce/Data Cloud (French Speaker)

Talent Acquisition CoE Lead

Director of Sales, Commercial (Europe)

Senior Software Engineer, Cash Forecasting

PCIE SOC Application Engineer (Sr Staff)

Commercial Operations Engineer

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