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Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound impact as Technical Staff AI Architect - Agentic AI/GenAI on our growing and dynamic team in Cork, Ireland.
Job Responsibility:
Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
Design, develop, and implement AI agents capable of autonomous decision-making and action
Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
Requirements:
15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments
Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure)
Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
Nice to have:
PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency
Familiarity with large scale data handling when dealing with telemetry systems
Publication of research papers, patents, or contributions to open-source projects
Recognition as a thought leader in AI, ML, or NLP fields is highly valued
What we offer:
Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers