Company
team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.5 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.

team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe

Position Overview

We are looking for a highly skilled Senior AI/ML Engineer to join our AI/ML engineering team. The ideal candidate will be responsible for developing AI & ML models and GenAI solutions that power real production use cases. The environment is fast-paced and high-responsibility, with plenty of room to grow alongside a technical, mission-driven team.

Key Responsibilities:

AI & ML Model Development & Implementation:

• Build, train and optimize ML models, including defining preprocessing, feature engineering, validation strategies, and hyperparameter tuning

• Design, develop and optimize deep learning and GenAI models, including training and fine-tuning for various applications

• Develop AI solutions using LLMs, agentic AI frameworks, RAG pipelines, MCP servers and other related technologies

AI & ML Engineering:

• Build data ingestion and transformation pipelines to support model training and deployment and ensure reproducible, scalable models

• Verify data quality, perform data cleaning, and oversee data acquisition processes as needed.

• Develop scalable training and inference pipelines for AI-powered applications

Deployment & Integration

• Deploy models to production and create APIs to integrate AI models into business operations

• Build and drive adoption of emerging LLM/MLOPs technologies, integrating AI Agents, RAGs, and LLMs using MCP workflows to streamline automation, performance tuning, and large-scale data insights

Research & Innovation:

• Continously research and integrate the latest advancements in AI, ML and LLMs into products

• Translate scientific insights into working prototypes that bridge research and production-ready implementation

• Collaborate with internal and external research partners, including academic institutions, industry labs, and vendors

Requirements:

• 4+ years of experience in ML engineering, Applied AI or Research engineering

• Proven hands on experience in developing machine learning models

• Hands-on expertise with GenAI technologies and concepts like LLMs, RAG, Vector databases, AI agents, MCP, LoRA, QLoRA

• Strong Python skills and experience with ML frameworks (e.g., PyTorch, TensorFlow, sklearn), with a proven track record of building and deploying ML models

• Practical experience deploying and scaling ML models and agentic AI applications in a production environment

• Knowledge of LLM/MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes)

• Strong problem-solving skills with excellent communication and documentation skills

• Ability to work collaboratively with cross-functional teams

Nice to have Skills:

• Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting

• Experience with LLM inference and serving (vLLm, LiteLLM, TensorRT-LLM)

• Awareness of LLM-specific risk domains, including hallucinations, fairness, and data privacy

"Come as you are"

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

Right to work

At any stage, please be prepared to provide proof of eligibility to work in the European country you are applying for. Unfortunately, we are unable to support Sponsorship Visas

ESG
“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”

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