Abylsen is an international engineering consultancy with more than 4,300 employees. Founded in 2005 by a group of entrepreneurs, the company was created with the ambition of expanding across Europe’s most strategic regions. Today, Abylsen is present in 42 locations and 8 countries (France, Switzerland, Luxembourg, Belgium, the Netherlands, Italy, Spain, and the United Kingdom).Our mission is to support our clients across multiple industries and key markets, helping them tackle their most ambitious projects thanks to the expertise and commitment of our teams. 💻 Your day‑to‑day responsibilitiesYou will join the Abylsen IA Factory to contribute to a large‑scale industrial innovation program for a global leader in industrial networking and connectivity. Together with a multidisciplinary and international team (Spain, India, US), you will help build a next‑generation AI‑driven telemetry and data platform.Your main responsibilities will include: Synthetic Data & Pre‑processing Pipelines: Build large‑scale synthetic and labeled datasets using simulation and generative techniques. Develop robust preprocessing pipelines for data ingestion, cleaning, deduplication, feature engineering, and tokenization to support high‑volume industrial telemetry workflows.Machine Learning Model Development: Design and train advanced ML models (deep learning architectures, generative models, clustering and boosting algorithms). Run large‑scale experimentation, optimize hyperparameters, and evaluate performance using solid metrics and diagnostic analyses.Generative AI & RAG Systems: Work with embedding models and vector databases to build retrieval‑augmented pipelines, multi‑agent workflows, and hybrid intelligent systems. Use frameworks such as LangChain, LlamaIndex, or LangGraph to orchestrate advanced generative‑AI capabilities.LLM/SLM Fine‑Tuning: Fine‑tune large and small language models with efficient techniques (LoRA, PEFT) and integrate them into scalable inference pipelines tailored to industrial use cases.Cloud, Edge & MLOps Implementation: Deploy models across AWS/Azure/GCP environments, containerize components (Docker), and manage Kubernetes‑based deployments. Implement CI/CD workflows while ensuring monitoring, observability, performance, and scalability of AI workloads.GPU Optimization & Distributed Training: Optimize model training and inference using CUDA, TensorRT, distributed training strategies, and GPU‑efficient memory management.Security, Networking & Compliance: Ensure adherence to standards such as ISO 27001, OWASP, and GDPR. Collaborate closely with networking engineers to align AI solutions with industrial network constraints and security requirements. 🤔 What does our selection process look like?1️⃣ A 15‑minute introductory phone call2️⃣ A video call with our Talent team to learn how we work3️⃣ A technical interview with our Business Managers4️⃣ A final meeting with our client 🚀 What we offer🔛 Permanent contract with Abylsen⏰ Flexible working hours and reduced Fridays💸 Competitive salary package adapted to seniority🩺 Private health insurance fully covered by the company🎯 Access to an online learning platform (languages, software, project management…)💪 Gympass–Wellhub membership with access to gyms and wellness activities ✨ Job requirementsWhat we need from you5+ years of experience in AI/ML Engineering, Data Science, or Applied ML Research.Strong Python skills and expertise with ML frameworks (TensorFlow, PyTorch, JAX).Hands‑on experience with C++ for ML acceleration (TensorRT, ONNX Runtime, LibTorch…).Experience with synthetic data generation, large‑scale ML, or distributed training.Solid understanding of Generative AI, embeddings, vector databases, and RAG architectures.Strong knowledge of GPU optimization and memory‑efficient execution.Ability to work autonomously in a remote, distributed environment.Fluent English for daily communication with international teams.Nice to haveBackground in industrial systems, telecom, or network telemetry.Experience with CUDA, HPC, or kernel‑level optimization.Contributions to open‑source ML/AI projects.Experience building agentic workflows or advanced GenAI applications. Position: AI/ML Engineer Location: Remote Position Company: Abylsen Spain