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

Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
1d
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
2d
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Infrastructure Security Engineer
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- AWS
- Linux
- AI
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
8d
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Senior Data Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Quick apply
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
3d
AI Lead, Manufacturing & Supply Chain
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Master's degree
- Bachelor's degree
Enterprise Partner Manager - Ireland, Northern Europe
ClickUp —Dublin, County Dublin
- €180,000–€217,500 a year
- Full-time
- Sales
- English
- AI
- Annual leave
- Employee assistance program
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Team management
- Mentoring
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Staff Engineer, Site Reliability
LearnUpon —Dublin, County Dublin
- On call
- AWS
- AI
- Annual leave
Defect equipment Systems Engineer
Intel —Leixlip, County Kildare
- €59,200–€111,300 a year
- Full-time
- Software troubleshooting
- Engineering
- Data analysis skills
3d
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
13d

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Applied Scientist, AI Ops Integration

Amazon EU SARL, Irish Branch -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

TensorFlow
Doctoral degree
Data structures
Spark
NumPy
R
Java
Master's degree
C++
Distributed systems
Software development
Predictive analytics
AI
Python
Hadoop

Full job description

DESCRIPTION

As part of AI Ops Integration team we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain.

As an Applied Scientist you will combine state-of-the-art ML/AI techniques with emerging Agentic AI capabilities to build autonomous systems that can understand, reason about, and optimize complex supply chain operations. You will also have the opportunity to work on CV and other relevant technologies.

This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark.

Key job responsibilities

Lead the development of innovative ML and AI solutions for supply chain and operations
Rapidly prototype and validate new ideas through minimum lovable products (MLPs)
Transform promising prototypes into production-ready systems at global scale
Collaborate with business stakeholders to identify and prioritize high-value automation opportunities
Mentor junior members and promote engineering excellence in AI/ML practices

About the team
We work back to back to address the technical challenges of automation and intelligence across a variety of products, software, and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills. Together, we are a team of worldwide specialists in bringing the potential of practical ML and AI to the max with impact on millions of Amazon customers.

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

Refine Your Search

machine learning software development engineer, ai ops jobs in coolock, d

Applied Scientist, AI Ops Integration

Senior Software Engineer - Machine Learning (f/m/d)

AI Engineer 2

Forward Deployed Engineer II, GCC (French, German)

Infrastructure Security Engineer

Director, Game Science & Insights

VP of Quantum Software Engineering

Senior Data Engineer

Senior Engineer, Network Observability

Data Engineering Lead – English Speaker – Office Based

AI Lead, Manufacturing & Supply Chain

Enterprise Partner Manager - Ireland, Northern Europe

Senior Site Reliability engineer

Software Development Manager, ICON

Process Automation Lead - Arachas Location

Staff Engineer, Site Reliability

Defect equipment Systems Engineer

Senior SDK Hardware Simulator Engineer

Sr. Software Eng, Data Platforms

Senior Applied Scientist, AWS Security

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