AI / ML Engineer – Scorebuddy
Join Scorebuddy as an AI / ML Engineer to build production‑ready AI systems that transform how contact centres analyse conversations, measure performance, and coach their teams.
Scorebuddy is a leading Quality Management SaaS platform for Contact Centres, combining quality management, coaching, and learning with advanced AI Analytics to help hundreds of customers worldwide scale and improve agent performance and enhance overall customer experience.
Job responsibilities
* Implement features such as conversation analysis, performance scoring, automated coaching, and multilingual support using both large language models and traditional ML approaches.
* Translate ML techniques into scalable, secure, and maintainable production solutions—from classical algorithms to modern Retrieval Augmented Generation (RAG) and agentic workflows.
* Build and optimise scalable Python applications and services powering our analytics and AI features.
* Develop and optimise pipelines using scikit‑learn, gensim, SpaCy, NLTK, LangChain, LangGraph, and other modern LLM orchestration tools.
* Create and optimise data pipelines for large‑scale datasets, ensuring efficiency and reliability across structured and unstructured data.
* Build NLP systems using transformer models, embeddings, BERT variants, Word2Vec, and TF‑IDF.
* Integrate AI components within microservices architectures, including API‑based LLMs and locally deployed models.
* Support deployment and monitoring of diverse model types following established MLOps practices.
* Implement testing methodologies for deterministic ML models and probabilistic AI outputs.
* Evaluate emerging technologies, conduct PoCs, and contribute to technical strategy.
* Collaborate closely with Product, UX, and Engineering teams to deliver AI‑powered user experiences.
Job requirements – Required
* 4+ years of Python development building production applications.
* 2+ years of applied ML/NLP/AI project experience.
* Hands‑on experience with scikit‑learn, gensim, and traditional ML techniques (clustering, classification, regression).
* Experience with NLP tools and libraries such as SpaCy and NLTK for text processing and analysis.
* Practical experience with large language models and generative AI platforms (OpenAI, Anthropic, open‑source models).
* Understanding of both statistical ML methods and modern deep learning approaches.
* Proficiency with Python ML libraries: pandas, numpy, matplotlib.
* Experience with or strong interest in RAG systems and vector databases.
* Familiarity with SQL databases (PostgreSQL, MySQL) and NoSQL (MongoDB).
* Understanding of RESTful API development and microservices principles.
* Experience with Git and CI/CD practices.
* Experience in Agile development environments.
* Strong written and verbal communication skills.
Nice to have
* Experience with deep learning frameworks (PyTorch, TensorFlow).
* Knowledge of MLOps practices and model lifecycle management.
* Familiarity with Golang or other backend programming languages.
* Understanding of ethical AI development and bias mitigation.
Education & Qualifications
* BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning or a related technical discipline.
Compensation & Benefits
* Competitive base salary with performance‑based bonus.
* 25 days paid annual leave.
* Gym membership at St. James' Gate Health and Fitness Club.
* PRSA Scheme.
* Modern Dublin city centre office.
* Collaborative, innovation‑focused culture.
* Regular team social events.
Seniority level
* Mid‑Senior level
Employment type
* Full‑time
Job function / Industries
* IT Services and IT Consulting
Location: Dublin, County Dublin, Ireland
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