Senior AI/ML Engineer: LLM Apps, RAG & Azure (Remote)

Excelloit Consultancy Services GmbH; Arrondissement de Toulon; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Competitive salary package with perks

Flexible hours and hybrid/remote work

International projects and global exp.

Professional development programs

Health and wellness benefits

Résumé du poste

Excelloit Consultancy Services GmbH seeks an experienced ML/AI Engineer to design, train, and ship ML models and LLM-powered applications. You will build RAG systems, embeddings pipelines, and production-ready services on Azure with Docker/Kubernetes.

Strong Python, PyTorch/TensorFlow, and Git skills are required, along with track record deploying AI systems in production and collaborating in a globally distributed, remote-friendly team.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field — or equivalent practical experience.
• 4+ years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production.
• Strong proficiency in Python and core ML libraries (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).
• Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, or open-source models).
• Practical RAG and embeddings experience, including at least one production vector store.
• Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals.
• Solid command of Git, branching strategies, and pull-request-based code review.
• Hands-on experience building and operating CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production workloads.
• Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker).
• Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders.
• Proven ability to thrive in a fully remote, globally distributed team.

Responsabilités

• Design, train, evaluate, and ship machine learning and deep learning models against defined business problems.
• Design and implement LLM-powered applications using major model providers.
• Build retrieval-augmented generation (RAG) systems with embeddings and vector stores.
• Develop agentic workflows with tool use and orchestration; implement guardrails and human-in-the-loop review.
• Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with evals.
• Build and maintain data pipelines on Azure; ensure data quality and reproducibility.
• Productionize models with MLOps practices: versioning, retraining, drift detection, rollback.
• Use AI coding assistants alongside manual coding; review AI-generated code rigorously.
• Manage source code in Git with clean branching and PR reviews.
• Build and maintain CI/CD pipelines for automated testing, packaging, and deployment of AI services.
• Deploy and operate services on Azure using containers (Docker) and Kubernetes/AKS.

Connaissances

Python

ML deployment

Git & PRs

CI/CD

Remote collaboration

Formation

Bachelor’s or Master’s degree in Computer Science or related field

Equivalent practical experience

Outils

PyTorch

TensorFlow

scikit-learn

pandas

NumPy

Azure DevOps

Docker

Kubernetes

Description du poste

Excelloit Consultancy Services GmbH seeks an experienced ML/AI Engineer to design, train, and ship ML models and LLM-powered applications. You will build RAG systems, embeddings pipelines, and production-ready services on Azure with Docker/Kubernetes.

Strong Python, PyTorch/TensorFlow, and Git skills are required, along with track record deploying AI systems in production and collaborating in a globally distributed, remote-friendly team.