Mid-level Data & AI Engineer (mf)

ARHS Group part of Accenture is looking for a Data & AI Engineer (Mid-level) to join our team in Luxembourg.

In this role you will contribute to the design development and deployment of AI solutions across NLP computer vision and LLMs from edge devices to cloud infrastructure. You will work alongside experienced engineers to transform raw data into secure high-performing AI-driven solutions and contribute to the continuous improvement of our Machine Learning practices.

THE WORK:

• Design and implement AI/ML pipelines covering data ingestion feature engineering model training deployment and post-deployment monitoring.
• Develop and customize LLM-based solutions including open-source models such as Mistral and LLaMA on hybrid cloud and on-premises infrastructure.
• Build NLP pipelines for information extraction classification semantic search and document understanding.
• Develop production-ready AI services and APIs using FastAPI or equivalent frameworks.
• Deploy AI workloads to cloud platforms (Azure and/or AWS) and edge devices such as NVIDIA Jetson Orin and Xavier NX.
• Contribute to infrastructure automation and reproducible ML environments using Terraform Ansible and Docker.
• Integrate AI components into event-driven and serverless environments such as Azure Functions and Event Grid.
• Contribute to MLOps practices CI/CD processes observability and continuous improvement of AI solutions.
• Collaborate with software cloud and data engineers to deliver maintainable and scalable AI solutions.

Our roles require in-person time to encourage collaboration learning and relationship-building with clients colleagues and communities. As an employer we will be as flexible as possible to support your specific work/life needs.

The work location for this role is an ARHS Part of Accenture office.

HERES WHAT YOULL NEED:

• 3 years of hands-on experience in AI/ML engineering contributing to the delivery of production-ready AI solutions.
• Programming & APIs: Python REST APIs performance optimization and secure API development.
• NLP & ML: Transformers LLMs (Mistral LLaMA etc.) RAG architectures prompt tuning vector search OCR pipelines and chatbot development.
• Cloud Platforms: Experience with Azure and/or AWS services.
• MLOps & Infrastructure: Docker GitHub Actions Infrastructure as Code (Terraform Ansible) and CI/CD pipelines.
• AI System Integration: Familiarity with edge inference Ollama/ONNX runtime hybrid deployments and workload orchestration.
• Strong analytical and problem-solving skills with an interest in building clean documented and maintainable AI solutions.
• Ability to work autonomously on assigned topics while collaborating effectively with the wider engineering team.
• Familiarity with Agile and DevOps practices.
• Strong communication skills in English or French; knowledge of both is a plus.

BONUS POINTS IF YOU HAVE:

• Experience with traditional software development technologies such as TypeScript or Spring Boot.
• Experience deploying AI workloads to edge devices.
• Knowledge of event-driven and serverless architectures.
• AWS and/or Azure certifications.
• Interest in knowledge sharing and contributing to internal AI/ML engineering practices.

Remote Work :

No

Employment Type :

Full-time