Senior AI/ML Engineer

Company Overview
is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.

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

Right to Work
At any stage, please be prepared to provide proof of eligibility to work in the

country you're applying for. Unfortunately, we are unable to support relocation

packages or sponsorship visas

"
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.

ESG
"At , 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."

The most trusted digital enabler

is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.

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