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
4d
Talent Acquisition CoE Lead
Uniphar PLC —DUBLIN 24, County Dublin
- Full-time
- Hybrid work
- Management
- Master's degree
- Bachelor's degree
Quick apply
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
- Communication skills
- Gym membership
Quick apply
4d
Applications Engineering, Manager
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
4d
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Senior Manager, Sales Operations
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Sales
- SQL
6d
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
2d
AI/ML Computational Science
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
2d
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
3d
Enterprise Growth Account Executive, DACH
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- Leadership
- Annual leave
7h
PCIE SOC Application Engineer (Sr Staff)
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
4d

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Applied Scientist, AI Ops Integration

Amazon EU SARL, Irish Branch -
Dublin, County Dublin

Apply Now

Job details

Full-time
4 days 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

Talent Acquisition CoE Lead

Commercial Operations Engineer

Applications Engineering, Manager

ASIC Digital Verification Architect

Senior Manager, Sales Operations

Data Engineer

Software Developer, Scaled Ops AI Acceleration Team

AI/ML Computational Science

Director, Software Engineering

Enterprise Growth Account Executive, DACH

PCIE SOC Application Engineer (Sr Staff)

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