46 Senior Advanced AI Engineer jobs in Dublin

Senior Clinical Data Science Programmer
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise.
**What You Will Be Doing:**
+ Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials.
+ Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process.
+ Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports.
+ Providing guidance on programming best practices, coding standards, and data quality control measures.
+ Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies.
**Your Profile:**
+ Advanced degree in a relevant field such as computer science, statistics, or life sciences.
+ Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python.
+ Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment.
+ Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results.
+ Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes.
#LI-RD1
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply

Senior Clinical Data Science Programmer ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise. What You Will Be Doing: Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials. Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process. Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports. Providing guidance on programming best practices, coding standards, and data quality control measures. Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies. Your Profile: Advanced degree in a relevant field such as computer science, statistics, or life sciences. Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python. Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment. Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results. Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes. #LI-RD1 What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply To be considered for this role you will be redirected to our careers page & prompted to create a jobseeker account here. To start the process, click the Continue to Application or Login/Register button below. Benefits: Work From Home

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem - payers, providers, and patients.
We are looking for a **Senior Data Scientist - AI/Deep Learning** to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
+ Build and maintain production-ready machine-learning models
+ Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
+ Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
+ Engage with subject-matter experts to explore business problems and design solutions
+ Present analysis and interpretation for both operational and business review and planning
+ Support short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
+ Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
+ Proficiency in AI/ML anddeep learning frameworks such us PyTorch
+ Proven track record of developing and deploying machine learning models in production environments
**Soft Skills:**
+ Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.
#RPO #BBMRTS

Applications are sought for Ad Astra Fellow - Assistant Professor of Agri-food Systems Data Science within the College of Health and Agricultural Sciences. Applications are invited for the post of Assistant Professor in Agri-Food Systems Data Science at the UCD School of Agriculture & Food Science. This position offers an exciting opportunity to contribute to cutting-edge research and teaching while addressing critical national and global challenges in sustainable food systems. We invite dynamic and ambitious scholars with a strong background in applying artificial intelligence (AI), machine learning (ML) and Multiple Criteria Decision Analysis (MCDA) to complex datasets within agri-food systems. The successful candidate will play a leading role in advancing the School's expertise in agri-food systems modelling, focusing on sustainability and innovation in food production. They will be instrumental in developing a vibrant research agenda, collaborating with interdisciplinary teams, and making significant contributions to both teaching and student mentorship. This position is aligned with UCD's Strategy to 2030, particularly its pillars of Advancing Research and Innovation and Driving Sustainability. The successful candidate will contribute significantly to UCD's mission of addressing pressing societal challenges through impactful research, teaching, and collaboration. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €62,855 - €99,533 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 29th August 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

**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 Machine Learning Engineer
Overview:
We are seeking a highly skilled and forward-thinking Machine Learning Engineer to lead the development and deployment of scalable machine learning systems that drive innovation and deliver measurable impact across the business. This role involves building robust ML pipelines, optimizing model performance, and collaborating with cross-functional teams to integrate intelligent solutions into production environments. The ideal candidate combines deep technical expertise with strong engineering discipline and a passion for solving real-world problems.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex initiatives and projects to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate client/stakeholder needs into machine learning solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Guide others to develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) utilizing supervised, unsupervised, and reinforcement learning techniques
Delegate and review work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior-level colleagues and develop technical talent via ongoing technical training, peer review, and mentorship
All about you:
Proven experience designing, building, and deploying machine learning systems in production
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
#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.

**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**
Senior Machine Learning Engineer
Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to design, build, and optimize scalable machine learning systems that deliver measurable impact across the business. This role involves developing robust ML pipelines, deploying models to production, and applying advanced techniques to solve complex problems. The ideal candidate is a hands-on technical expert with deep knowledge of machine learning, software engineering, and data infrastructure.
Role:
Responsible for developing machine learning-driven analytical solutions and identifying opportunities to support business and client needs in a scalable and automated manner, facilitating informed recommendations and decisions. Activities include designing and deploying ML models, building end-to-end pipelines, conducting performance analyses, ad hoc reporting, and developing ML-powered data visualizations.
In this position, you will:
Lead complex technical initiatives to build and deploy ML systems that solve critical business questions and automate decision-making processes
Translate business and stakeholder requirements into scalable machine learning solutions and collaborate with engineering and data teams to implement them
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for ML applications
Deliver high-quality ML solutions and tools within agreed-upon timelines and budget parameters and conduct post-implementation reviews
Develop sophisticated ML models and engineering solutions (e.g., recommendation systems, anomaly detection engines, predictive maintenance tools) using supervised, unsupervised, and reinforcement learning techniques
Apply best practices in software engineering, including version control, testing, and continuous integration, to ensure reliability and maintainability of ML systems
Optimize model performance and scalability through hyperparameter tuning, feature selection, and efficient deployment strategies
All about you:
3 - 5 years proven experience designing, building, and deploying machine learning systems in production environments
Strong proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Solid understanding of ML algorithms, model evaluation, feature engineering, and data preprocessing
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Familiarity with MLOps practices including CI/CD, model monitoring, and automated retraining
Strong problem-solving skills and ability to work independently on technically challenging projects
Excellent communication skills and ability to collaborate effectively with cross-functional teams
#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.

**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 Machine Learning Engineer
Overview:
We are seeking a highly skilled and visionary Lead Data Scientist to spearhead the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring a team of engineers and data scientists. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities.
Role:
Responsible for developing AI-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative and scalable manner, facilitating informed recommendations and decisions. Activities include designing and deploying machine learning models, building intelligent systems, conducting performance analyses, ad hoc reporting, and AI-powered data visualizations.
In this position, you will:
Lead complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions
Translate client/stakeholder needs into AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications
Deliver high-quality AI solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews
Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques
Delegate and review work for junior-level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior-level colleagues and develops technical talent via ongoing technical training, peer review, and mentorship
All about you:
Proven experience leading AI/ML projects from concept to production
Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (e.g., AWS, Azure, GCP)
Deep understanding of machine learning, deep learning, NLP, and MLOps
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, ViTs) is strongly preferred
Experience with data architecture, model deployment, and performance tuning
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams
#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.