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

Senior Software Engineer - Machine Learning (f/m/d)
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SpotOn TA —Dublin, County Dublin
- Full-time
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Optum —Dublin, County Dublin
- Full-time
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- DevOps
- Data analysis skills
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Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Quick apply
Senior Software Engineer, Cash Forecasting
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
6d
Director of Software Engineering
JPMorganChase —DUBLIN 1, County Dublin
- Full-time
- System design
- AI
- SDLC
6h
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
5d
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
2d
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
5d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
10h
Enterprise Growth Account Executive, DACH
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- Leadership
- Annual leave
20h
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
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4d
Success Architect - Agentforce/Data Cloud (French Speaker)
Salesforce —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Salesforce
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7h
PCIE SOC Application Engineer (Sr Staff)
Synopsys —Dublin, County Dublin
- Master's degree
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4d
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
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5d
Enterprise Account Executive, Nordics
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
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2h
Applications Engineering, Manager
Synopsys —Dublin, County Dublin
- Master's degree
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Senior Software Engineer - Machine Learning (f/m/d)

Contentful -
Dublin, County Dublin

Apply Now

Job details

Full-time

Benefits

Stock Options
Annual leave

Qualifications

Azure
Law
Kubernetes
Google Cloud Platform
Master's degree
AWS
Docker
Distributed systems
AI

Full job description

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect?

Measure and ensure the high-quality output of ML workloads for our enterprise customers.
Design, build, and measure production software in the Contentful Platform.
Conduct focused research and testing using tools like Jupyter Notebook.
Optimize generative AI products for accuracy, speed, and scalability.
Integrate ML cloud solutions and adapt them to our large-scale use cases.
Integrate prompt engineering and fine-tuning for customer use cases.
Develop software that scales to meet the demands of high-load customer workloads.
Lead design reviews with peers and stakeholders to decide amongst available technologies.
Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

Proven experience as a technical leader in a product software development environment
Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
Ability to organize and prioritize competing workloads
Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
Solid understanding of machine learning principles
Experience with container frameworks such as Docker or Kubernetes
Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

Background includes machine learning and AI implementation
You can translate a research paper into a PoC if the code does not exist

What's in it for you?

Join an ambitious tech company reshaping the way people build digital experiences
Full-time employees receive Stock Options for the opportunity to share in the success of our company
Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
Time off to care for and focus on your growing family
Use your personal annual education budget to improve your skills and grow in your career
Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
An annual wellbeing stipend to care for your physical, financial, or emotional health
A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Who are we?

Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.

Everyone is welcome here!

"Everyone is welcome here" is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!

If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.

Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at [email protected] with any information you may have.

By clicking "Apply for this job," I acknowledge that I have read the "Contentful's Candidate Privacy Notice" and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Apply Now

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

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

Data Engineering Lead – English Speaker – Office Based

Senior Data Engineer

Senior Cloud Support Engineer

Senior Software Engineer, Cash Forecasting

Director of Software Engineering

Applied Scientist, AI Ops Integration

Software Developer, Scaled Ops AI Acceleration Team

AI Engineer 2

Staff Machine Learning Engineer

Enterprise Growth Account Executive, DACH

Director, Software Engineering

Success Architect - Agentforce/Data Cloud (French Speaker)

PCIE SOC Application Engineer (Sr Staff)

Commercial Operations Engineer

Enterprise Account Executive, Nordics

Applications Engineering, Manager

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