Young Graduate Data & AI Engineer (AI)

TL;DR

Young Graduate Data & AI Engineer (AI/Cloud): Developing and deploying intelligent data and AI solutions with an accent on LLMs, NLP, and cloud integration. Focus on building ML pipelines, implementing RAG-based chatbots, and optimizing AI workload deployment on Azure and AWS.

Location: Hybrid; must be based in Luxembourg

Company

hirify.global, part of Accenture, specializes in managing complex public sector IT projects, systems integration, and AI-driven analytics.

What you will do

• Develop AI and machine learning pipelines covering data preparation, experimentation, and monitoring.
• Implement LLM-based solutions using open-source models such as Mistral and LLaMA.
• Build NLP tools for information extraction, text classification, semantic search, and chatbot development.
• Develop and expose ML models via APIs using Python frameworks like FastAPI.
• Deploy AI workloads on cloud platforms including Azure and AWS.
• Integrate AI services into cloud-native, serverless, or event-driven architectures.

Requirements

• Bachelor's or Master's degree in Data Science, AI, Computer Science, Machine Learning, or a related field.
• Academic, internship, or project experience in AI, data science, or software engineering.
• Proficiency in Python and a basic understanding of REST APIs.
• Familiarity with Git and collaborative software development practices.
• Understanding of ML fundamentals and exposure to transformers, embeddings, or LLMs.
• Good communication skills in English or French required.

Nice to have

• Knowledge of vector databases, semantic search, and embeddings.
• Experience with event-driven architectures (e.g., Azure Functions, Service Bus, Event Grid).
• Traditional software development experience in Java, .NET, TypeScript, or Spring Boot.

Culture & Benefits

• Mentorship and guidance from experienced engineers and project teams.
• Opportunity to work on real-world AI projects and cutting-edge cloud technologies.
• Flexible work approach to support individual work/life needs.
• Collaborative environment focusing on continuous learning and relationship-building.