Job Description

About Hypertech

Hypertech is an AI-first technology company building cutting-edge platforms and intelligent tools that solve real-world problems — from AI-powered applications to digital trading ecosystems. We are active partners in EU-funded research initiatives and work at the intersection of applied AI, innovation, and impact.

If you want your work to matter — in production systems and in European research — this is the place.

The Role

We're looking for a Senior ML/AI Engineer to join our growing AI team. You'll be a core contributor to the design and development of large-scale language model systems and a key voice in EU research projects where Hypertech is a named technology partner.

This is a role for someone who is equally comfortable reading a research paper on a Monday and shipping a production NLP pipeline by Friday.

What You'll Do

• Architect, fine-tune, and deploy large language models (LLMs) and NLP pipelines for real-world applications
• Lead the AI/ML workstream in EU-funded research projects (Horizon Europe and related programs), including technical deliverables, reports, and milestone contributions
• Collaborate closely with product and engineering teams to translate research into scalable, production-ready systems
• Stay at the forefront of the field — evaluate new methods, propose experiments, and drive adoption of best practices
• Mentor junior engineers and contribute to building a strong internal AI culture

Requirements

What We're Looking For

• 5+ years of hands-on experience in machine learning engineering, with a strong focus on NLP and/or LLMs
• Deep familiarity with transformer architectures, fine-tuning techniques (LoRA, RLHF, instruction tuning), and modern LLM tooling (HuggingFace, LangChain, vLLM, etc.)
• Proven experience with EU-funded research projects — understanding of technical reporting, deliverables, and consortium dynamics is a strong plus
• Solid Python skills and comfort with ML infrastructure (model serving, experiment tracking, data pipelines)
• Ability to communicate complex technical concepts clearly — to both technical peers and non-technical stakeholders
• MSc or PhD in Computer Science, AI, or a related field preferred

Nice to Have

• Experience with multimodal models or RAG architectures
• Familiarity with EU funding frameworks (Horizon Europe, EIC, etc.)
• Publications or contributions to open-source ML projects

Benefits

What We Offer

• An environment of continuous learning
• Working with an a-team
• Competitive salary, commensurate with experience
• Hybrid working model based in Athens
• Direct involvement in EU research projects with real scientific impact
• A lean, ambitious team where your decisions carry weight