Medior Data & AI Engineer

ARHS Group

  • Belvaux, Esch-sur-Alzette
  • CDI
  • Temps-plein
  • Il y a 14 jours
We are looking for a passionate Medior Data & AI Engineer skilled in designing and deploying intelligent solutions leveraging NLP, computer vision, and large language models (LLMs). In this role, you will transform raw data into secure, scalable AI-driven systems deployed both in the cloud and on edge infrastructure. You will be involved throughout the entire AI project lifecycle, from data collection and preparation to model training, deployment, and monitoring, utilizing cutting-edge technologies to deliver impactful solutions.Main Mission: As a Medior Data & AI Engineer, you will design and deploy intelligent solutions using NLP, computer vision, and LLMs - either in the cloud or on edge infrastructure - transforming raw data into secure, scalable, AI-driven systems.Core Responsibilities:
  • Design and implement AI pipelines that handle end-to-end ML workflows: data collection, preparation, training, deployment, and monitoring
  • Develop and deploy LLMs - including open-source models (e.g., Mistral, LLaMA) - on both cloud and on-premises infrastructure, ensuring performance and data privacy
  • Engineer NLP-based solutions for information extraction, classification, semantic search, and document enrichment
  • Build and expose ML models via production-ready APIs using FastAPI or equivalent frameworks
  • Manage AI workloads on cloud platforms (Azure or AWS) as well as on embedded edge devices (e.g. NVIDIA Jetson Orin, Xavier NX) for real-time inference.
  • Implement Infrastructure-as-Code (e.g., Terraform, Ansible) to automate ML platform deployment
  • Integrate AI services into event-driven and serverless architectures (e.g., Azure Functions, Event Grid).
Technical Expertise:
  • At least 2 years in AI/ML engineering, with proven experience in:
  • Programming & APIs: Python, RESTful service design
  • NLP & ML: Transformers, open-source LLMs (Mistral, LLaMA, etc.), model fine-tuning, prompt engineering, Text classification & enrichment, OCR & document understanding, Retrieval-Augmented Generation (RAG), chatbot development, vector search and embeddings.
  • Cloud Platforms: Azure (Functions, AI Services, Logic Apps), AWS (Glue, Step Functions)
  • Infrastructure Automation: Terraform, Ansible, Docker, GitHub Actions.
  • Familiarity in the following techs/domains is a plus:
  • Managed LLM platforms (eg: Azure OpenAI Service)
  • Event-driven architectures (eg: Service Bus, Event Grid)
  • Hybrid architectures (cloud/on-prem integration)
  • Edge AI: NVIDIA Jetson AGX Orin, Xavier NX, Ollama runtime for local LLM inference
  • Real-time video analysis via computer vision.
  • Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus
  • Any AWS/Azure certification is optional but valued.
Soft Skills:
  • Good communication in either English or French
  • Strong documentation habits and strategic thinking
  • Agile/DevOps culture familiarity.

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