62 AI Development jobs in Ireland

AI Engineer Location: Dublin Salary: € Hybrid Reperio are working with a prominent tech company who are undergoing major expansion plans within their Data & AI team. To facilitate these plans, they're looking for an experienced AI Engineer to design, develop, and deploy AI-driven applications that solve real-world problems. You'll work with large-scale datasets to train, fine-tune and evaluate models whilst collaborating with data scientists, product managers, and software engineers to bring intelligent systems to life. Requirements: 3+ years' experience in building and deploying machine learning models. Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn, etc.). Solid understanding of data structures, algorithms, and software engineering principles. Experience with cloud platforms (AWS preferred but not required) and MLOps practices. Familiarity with version control (Git) and containerization (Docker, Kubernetes). Experience working with deep learning techniques and NLP architectures Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. Nice to have: Experience with LLMs or Generative AI (e.g., OpenAI, Hugging Face, LangChain). Benefits: Pension Healthcare Bonus Flexible hybrid working If this role as an AI Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: AI Engineer Machine Learning Python NLP Dublin Hybrid Benefits: Work From Home

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Engineer
Overview
As a Lead AI Engineer at Mastercard, you will be instrumental in designing, building, and scaling AI microservices that transform PoC notebooks into robust, production-ready components. You will play a pivotal role in creating the foundational AI services that power our next-generation solutions, ensuring they are scalable, efficient, and seamlessly integrated into the broader Mastercard ecosystem
Key Responsibilities
Lead the E2E design and development of AI-powered microservices, focusing on modularity, scalability, and reusability, to support various business units and applications
Drive the transition of AI models from notebook-based PoCs and experimental phases into hardened, production-grade components and services, ensuring performance, reliability, and maintainability
Design and implement robust APIs for AI microservices, facilitating seamless integration with existing Mastercard platforms and external systems.
Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost-efficiency.
Work closely with data scientists, MLOps engineers, and product teams to translate business requirements into technical specifications for AI services. Mentor junior engineers on best practices for AI software development and scaling
Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices
Research and evaluate new technologies, frameworks, and methodologies related to AI software development, microservices, and large-scale data processing to continuously improve our capabilities
Ensure all AI microservices adhere to Mastercard's security standards, compliance policies, and ethical AI principles
Qualifications
Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Master's degree preferred
Experience: Minimum of 8+ years of experience in software development, with at least 4 years specifically focused on building and deploying AI/ML-powered applications or microservices in production environments
Technical Skills:
Strong proficiency in Python
Extensive experience in designing, developing, and deploying RESTful APIs and microservices
Proven experience in scaling machine learning models from prototype to production, including familiarity with feature stores, model registries, and inference patterns
Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring
Experience with cloud platforms and their relevant compute, storage, and AI/ML services
Proficiency with containerization technologies
Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models
Experience with distributed computing frameworks (e.g., Spark, Dask) is a plus
Understanding of data governance, data quality, and data security principles relevant to AI/ML applications
Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
Proven ability to lead technical initiatives, drive cross-functional projects, and influence outcomes within a fast-paced environment
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

GenAI Engineer Contractor (Hybrid, Dublin or Remote) My Client seeking aGenAI Engineer (Contractor) to help design, build, and deploy large-scale artificial intelligence solutions with real-world impact. This role offers the flexibility to work remotely or from a Dublin-based office and is ideal for someone ready to apply their technical expertise within an agile, innovative environment. Key Responsibilities: Design and deploy enterprise-scale GenAI systems using Microsoft AI Services and Databricks. Collaborate with cross-functional teams to deliver AI products and solutions across varied use cases. Work with NLP and LLM technologies, including frameworks like Transformers, SpaCy, PyTorch, TensorFlow, and more. Develop and maintain robust Compound AI systems, leveraging tools like DSPy. Operate in cloud environments such as Azure and AWS, deploying production-grade AI applications. Participate in Agile development cycles, contributing to sprint planning and iterative delivery. What Were Looking For: Experience with Microsoft AI Services and Databricks is essential. Advanced degree (MSc/PhD preferred) or equivalent experience in computer science, engineering, mathematics, or related fields. Proven track record in NLP and LLM-based projects, ideally within the insurance or financial services sectors. Strong programming skills in Python and comfort working with SQL. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. A drive for continuous learning and keeping up with the latest AI advancements. If you are interested in the above role you can apply directly or email me on and we can set up a call to discuss. Benefits: Work From Home

MCS Group is delighted to announce an exciting new position for a Senior AI Engineer to join a groundbreaking Irish start up at a critical time in their product development. If you are seeking a challenging role working with the latest tech and want to join a company where your work will be completely integral to their mission then please read on! The Role: Design, build and maintain robust LLM powered processing workflows Develop cutting edge testing suites related to bespoke LLM performance metrics Foster and take the lead in a creative environment when it comes to AI frameworks and models. Monitor performance and own the breaking and fixing of developing complex The Person: Happy to work in a start up environment that is high energy, highly creative and values IN-PERSON collaboration Proven expertise in mathematics and classical machine learning algorithms (Neural networks) Engineering background ideally in start ups with expertise in Typescript/Python. Deep knowledge and expertise of LLMs (Anthropic/OpenAI/HuggingFace) Full right to work in Ireland (Stamp 4/EU Citizenship) The rewards for this position are extensive and encompass a strong base salary and considerable equity DOE. I look forward to discussing with candidates who meet the requirements above. To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Calum Omand Specialist Recruitment Consultant at MCS Group . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles Skills: LLM AI Machine Learning Engineer

Machine Learning/AI Research Engineer (Post-doc) page is loaded Machine Learning/AI Research Engineer (Post-doc) Apply locations Galway, Galway, Ireland Dublin, Dublin, Ireland time type Full time posted on Posted 2 Days Ago job requisition id Machine Learning/AI Research Engineer (Post-doc)This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

What the project is about:

The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy. These technologies, supported by a techno-economic optimization framework, are designed to improve the efficiency, reliability, and sustainability of ocean energy systems and support the transition to a cleaner energy future. HPE is contributing its expertise in advanced control (reinforcement learning), forecasting, and digital twin technology to help drive the successful commercialization of this cutting-edge renewable energy solution.

Start/End Date : October 2025 to September 2028 (3 Years)

Location: Galway / Dublin

Mandatory Requirements: PhD degree (or Master's with equivalent research and innovation experience)

What we are looking for:

Hewlett Packard Labs is currently seeking a highly qualified, self-motivated machine learning/AI researcher to be part of a new and growing AI research team in Ireland, to accelerate research towards various applications of digital twins incorporating Machine Learning.

Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Silicon Valley, California. As the central research organization for HPE, Hewlett Packard Labs' purpose is to deliver breakthrough technologies that provide a competitive advantage for the company, by investing in fundamental areas of interest to HPE and getting the resulting technologies ready for adoption.

The AI Research Lab (AIRL) focuses on applied ML research and applications of interest to HPE and HPE's customers. AIRL's research focuses on Reinforcement Learning applications in sustainability, digital twins, complex scientific applications (like fusion energy), LLMs, trustworthy and responsible AI, and the data foundation infrastructure for AI. Our team is diverse, with a broad range of skill sets and expertise that enables the exploration of innovative ideas that are not possible in monolithic research organizations.

We are seeking highly qualified candidates to join our team as a machine learning research engineer. We are interested in individuals with a background in machine learning, time series analysis, reinforcement learning and Digitial twins. Digital twin applications require a strong engineering background with an aptitude to model physical systems. The ideal candidate demonstrates an entrepreneurial interest in creating new products and technologies with a fluency in system level analysis and design.

We expect all our team members to provide thought leadership and technical influence internally and externally, take innovative ideas and make them real - contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer. The ideal candidate thrives in an applied research environment, managing risk, and balancing management responsibilities with technical and scientific contributions, and brings such contributions to practice. We expect the successful candidate to collaborate with Hewlett Packard Labs' research teams, with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills, understanding of state-of-the-art AI/ML platforms and familiarity with technology and applications of digital twins are a significant plus.

The ideal candidate develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance. Formulates descriptive, diagnostic, predictive and prescriptive insights/ algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.

Education and Experience

• PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
• Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
• Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.

Technical Skills:

• Strong software development skills in Python and Pytorch are required.
• Strong application experience of Machine Learning with physical systems is required.
• Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
• A strong science or engineering background with aptitude for system level analysis and modeling.
• Deep understanding of the relevant environment, ecosystem, trends, and literature.
• Excellent research and development skills.
• Ability to innovate, make research contributions, and bring ideas to reality in compelling ways.
• Excellent written and verbal communication skills; mastery in English.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
• Extensive knowledge of algorithms and data structures

Preferred Skills:

• Research experience with publications in machine learning/applied statistics/AI.
• Designing, implementing, and managing AI/ML systems.

At HPE, we're:

• Human Rights Campaign's Corporate Equality Index
• Great Place to Work's Best Workplace for Parents 2023
• Fortune 100 Best Companies to Work For 2024
• Ethisphere World's Most Ethical Company 2024
• The Civic 50 Honoree
• JUST Jobs Leader 2024
• Forbes 2024 America's Best Employers For Diversity
• America's Most Just Companies 2024
• Fortune Best Workplaces in Texas 2024
• Bay Area's Best Places to Work 2024

Ready to take the next step?

Open up opportunities with HPE.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development + 5 more What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration Job Level:

N/A HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender . click apply for full job details

**Lead Cyber Security AI Engineer**
**Innovate to solve the world's most important challenges**
Honeywell's Global Security (HGS) and Buildings Automation (BA) lead and influence a dynamic collective of professionals dedicated to refining product development through innovative engineering, strategic component selection, and establishing industry-leading cybersecurity through AI.
You will be part of Honeywell's BA team with the AI Cyber Center of Excellence and driving cybersecurity architecture in AI/ML/GEN-AI with a focus on Engineering solutions for endpoint, mobile, cloud, and standalone products. You will be first a risk and cybersecurity professionals with deep practical experience in testing, designing architecture, and product innovations with AI/ML/GEN-AI.
You will be responsible to develop the definition of good through hands on cyber testing, architecture design. In addition you will work with the CPSO of BA to develop an Engineering Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure BA and Honeywell are able to leverage the latest and the best in the industry; and continues to be cybersecure. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas
**KEY RESPONSIBILITIES:**
+ Drive Honeywell COE Gen AI strategy. Establish current and future state landscape & roadmap with deep consideration of security, safety, and integrity of services.
+ Provide Subject Matter Expertise on Generative AI adoption and Impactful deployment for cybersecurity for internal architecture, third party integration, and custom models.
+ Collaborate with IT, Technical teams, Business SMEs for defining architectural cyber frameworks, common standards and solutions for product engineering
+ Work closely with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
+ Perform Market Research to identify new opportunities, ideas and technology trends for adoption. Collaborate with Vendors and Industry leaders to accelerate adoption of latest technology trends and ideas that have strong business impact
+ Engage with Chiefs, Fellows, other Tech talents and Tech forums to bring alignment of Cyber across SBGs of engineering and IT and maximize cross leverage of best practices/ideas
+ Leverage existing BA and Honeywell ecosystem to collaborate and partner with Universities and Startups to accelerate New Idea evaluation and incubation. Participate in hackathons, and crowd sourcing platforms effectively to progress on cyber 'definition of good'
+ Coach & develop next set of Cyber Researchers, Data Scientists, Leads, Pen-Testers, and Engineering teams
**YOU MUST HAVE:**
+ Overall 10+ years of experience, out of which 5+ years of experience in cyber security identifying security risks, identifying best practices, and developing solutions
+ Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc.
+ Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc.
+ Ability to articulate, document, and produce guides, instruction, and present cybersecurity AI methods and techniques
+ Risk management and cybersecurity certifications and or experience
**NICE TO HAVE:**
+ Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
+ Experience in fine-tuning LLM using LoRA/QLoRA techniques.
+ Develop APIs and microservices to support Gen AI/ML applications.
+ Strong understanding of cloud platforms, particularly GCP, AWS, Azure, for deploying AI applications.
+ Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management
+ Ability to analyze complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
+ Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences.
+ Strong understanding of Business Process, IT Industry Standards
+ Track record of innovation and leadership in productizing AI research
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved! We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised. CVS Health is focused on driving business agility and growth through technology, data, digital and experiential innovations. 'Digital First, Technology Forward and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth. Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives. Careers with offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office. Position Summary The ML Engineer, part of the broader Retail Analytics Engineering department, supports the Price Value & Assortment Analytics organization in the development of AI/ML driven analytical solutions at scale. The ML Engineer will actively collaborate with Data Scientists to successfully optimize, and scale complex ML models & optimizer solvers that enable highly dynamic & sophisticated pricing and promotion strategies. The incumbent in this role will have the opportunity to work on challenging business problems leveraging cutting-edge technologies including Big Data, Distributed Computing, and Machine learning. Key job duties include: Partner with data scientists to train, optimize, scale and support AI/ML models. Translating functionality into scalable, tested, and configurable platform architecture and software. Ensure models are integrated into production systems with high reliability and performance. Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Build frameworks, reusable modules, and author best practices and standards to enable self-serve capabilities that enable data scientists to deploy solutions quickly and efficiently. Required Qualifications: 3+ years professional experience in implementing ML and Data Engineering at scale. 3+ years of experience with Python & SQL programming language. 3+ years' experience with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes). 3+ years of experience in building cloud native analytical solutions, either on Azure or GCP. 1+ years designing, implementing, and optimizing machine learning algorithms and models using open-source machine learning frameworks such as TensorFlow, PyTorch, and XGBoost. 1+ years' experience in end-to-end ML implementation lifecycle including feature engineering, training, inference, model drift measurement, and model observability. 1+ years' experience in building data engineering pipelines, and metric aggregation layers. Preferred Qualifications: Experience working in Retail domain with a strong functional understanding of product pricing and promotion strategies is a plus. Experience in Google Cloud platform including Big Query, Vertex AI. Hands-on experience working in scalable distributed computation frameworks like Spark or Dask. Expertise with working with open-source ML platforms & toolsets such as Kubeflow, Airflow and Feast is preferred. Experience in deploying supervised machine learning, time series modeling, CNNs, ensemble models. Exposure to deploying ML optimization models such as Pyomo/ IPOPT. Exposure in implementing Gen AI and/or NLP based solutions using LLMs. Education: Bachelor's degree in computer science or equivalent. Master's degree preferred. To Apply Please forward your CV via the APPLY Now button below.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Fullstack Engineer(AI Platforms)
Overview
As a Lead AI Fullstack Engineer at Mastercard, you will be a pivotal force in designing, building, and deploying E2E AI/ML solutions. You will leverage your fullstack expertise to create intuitive user interfaces that bring AI insights to life, while also developing robust backend services and integrations that power our advanced AI models. Your work will directly enable the seamless delivery of AI capabilities, translating complex algorithms into tangible business value through user-centric applications
Key Responsibilities
Lead the complete lifecycle of AI-powered applications, from frontend user experience design and implementation to backend service development and integration with AI/ML models
Develop robust backend services and APIs that orchestrate AI/ML model training, inference, data pipelines, and monitoring. This includes building scalable data ingestion and processing components
Create and maintain engaging and functional user interfaces that allow users to interact with and derive insights from AI models and data, enhancing accessibility and usability
Design and implement high-performance APIs for both internal and external consumption, facilitating seamless communication between various components of the AI solution and other Mastercard systems
Identify and resolve performance bottlenecks across the fullstack, from frontend responsiveness and user experience to backend service efficiency, data processing, and AI model inference
Provide technical leadership and guidance to the team, championing best practices in fullstack development, software architecture, and the operationalization of AI solutions. Mentor junior engineers and foster a culture of technical excellence
Work closely with data scientists, AI engineers, product managers, and other stakeholders to gather requirements, translate them into technical specifications, and deliver AI solutions that meet strategic business objectives
Implement and ensure adherence to Mastercard's security standards, data governance policies, and compliance requirements throughout all layers of the AI solution
Qualifications
Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Master's degree preferred
Experience: Minimum of 8+ years of experience in fullstack software development, with a significant focus on building and maintaining complex applications. At least 3-4 years of experience specifically on AI/ML-driven applications or integrating with AI/ML systems
Technical Skills:
Extensive experience with backend development frameworks (e.g., Node.js, Python/Flask/Django) and designing/implementing RESTful APIs
Strong proficiency in frontend technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS
Experience with cloud platforms and their relevant services for compute, storage, databases, and networking
Proficiency with containerization technologies
Experience with CI/CD pipelines for automated deployment of fullstack applications
Familiarity with database technologies
Understanding of the AI/ML lifecycle and experience operationalizing machine learning models
Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
Proven ability to lead technical initiatives, drive cross-functional projects, and mentor team members within a fast-paced environment
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.