AboutScorebuddy is a leading Quality Management SaaS platform for Contact Centres. By combining quality management, coaching and learning with advanced AI Analytics, we help hundreds of customers worldwide to be operationally efficient, scale their contact centres, improve agent performance and enhance overall customer experience. We are a globally successful SaaS company, serving a diverse international customer base with teams ranging in size from 20 to 20,000 end users.We are seeking an AI/ML Engineer with expertise in both traditional machine learning and modern generative AI to join our innovative AI team. This is a hands-on role at the intersection of software engineering and artificial intelligence. You will contribute to building production-ready AI systems that transform how contact centres analyse conversations, measure performance and coach their teams.This is a high-impact opportunity to work across the full spectrum of ML technologies - from classical NLP and statistical models to cutting-edge Large Language Models and RAG systems. You'll collaborate with senior team members to deliver intelligent customer-centric features using the most appropriate techniques for each challeng**e.Job requireme**ntsRequired4+ years in Python development building production applications2+ years working on applied ML/NLP/AI projectsHands-on experience with traditional ML frameworks (scikit-learn, gensim) and techniques (clustering, classification, regression)Experience with NLP tools and libraries (SpaCy, NLTK) for text processing and analysisPractical experience with LLMs and generative AI platforms (OpenAI, Anthropic, open-source models)Understanding of both statistical ML methods and modern deep learning approachesProficiency with Python ML libraries: pandas, numpy, matplotlibExperience with or strong interest in RAG systems and vector databasesFamiliarity with both SQL databases (PostgreSQL, MySQL) and NoSQL (MongoDB)Understanding of RESTful API development and microservices principlesExperience with version control (Git) and CI/CD practicesExperience working in Agile development environmentsStrong written and verbal communication skillsNice tohaveExperience with deep learning frameworks (PyTorch, TensorFlow)Knowledge of MLOps practices and model lifecycle managementFamiliarity with Golang or other backend programming languagesUnderstanding of ethical AI development and bias mitigationEducation & QualificationsBSc/MSc in Computer Science, Artificial Intelligence, Machine Learning or a related technical disci**plineJob responsibi****litiesML & AI Sy stems: Implement features such as conversation analysis, performance scoring, automated coaching and multilingual support using both LLMs and traditional ML app- roachesResearch to Produ ction: Translate ML techniques into scalable, secure and maintainable production solutions - from classical algorithms to modern RAG and agentic wo- rkflowsPython Develo pment: Build scalable Python applications and services powering our analytics and AI f- eaturesML Pipe lines: Develop and optimise pipelines using frameworks such as scikit-learn, gensim, SpaCy, NLTK alongside modern LLM orchestration tools like LangChain and La- ngGraphData Work flows: Create and optimise data pipelines for large-scale datasets, ensuring efficiency and reliability across both structured and unstructur- ed dataNLP Proce ssing: Build systems using transformer models, embeddings and BERT variants as well as traditional techniques like Word2Vec and- TF-IDFIntegr ation: Implement AI components within microservices architectures, integrating both API-based LLMs and locally deployed- modelsMLOps & Deplo yment: Support deployment and monitoring of diverse model types following established MLOps pr- acticesTesting & Qu ality: Implement testing methodologies for both deterministic ML models and probabilistic AI- outputsInnovation & Protot yping: Evaluate emerging technologies across the ML spectrum, conduct PoCs and contribute to technical s- trategyCross-functional Collabor** ation: Work closely with Product, UX and Engineering teams to deliver AI-powered user expe**riencesJob**benefitsCompensationCompetitive base salary with performance-based bonus25 days paid annual leaveComprehensive health coverage including WebDoctor GPserviceGym membership at St. James' Gate Health and Fitness ClubPRSA SchemeWork EnvironmentHybrid working modelModern Dublin city centre officeCollaborative, innovation-focusedcultureRegular team social events