- Ml Engineer - Remote H/F HOUSE OF ABY

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 daytoday responsibilities

You will join the Abylsen IA Factory to contribute to a largescale 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 nextgeneration AIdriven telemetry and data platform.

Your main responsibilities will include:

• Synthetic Data & Preprocessing Pipelines: Build largescale synthetic and labeled datasets using simulation and generative techniques. Develop robust preprocessing pipelines for data ingestion, cleaning, deduplication, feature engineering, and tokenization to support highvolume industrial telemetry workflows.
• Machine Learning Model Development: Design and train advanced ML models (deep learning architectures, generative models, clustering and boosting algorithms). Run largescale 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 retrievalaugmented pipelines, multiagent workflows, and hybrid intelligent systems. Use frameworks such as LangChain, LlamaIndex, or LangGraph to orchestrate advanced generativeAI capabilities.
• LLM/SLM FineTuning: Finetune 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 Kubernetesbased 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 GPUefficient 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?

1 A 15minute introductory phone call

2 A video call with our Talent team to learn how we work

3 A technical interview with our Business Managers

4 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