We are seeking a skilled and experienced Machine Learning Engineer with a strong technical background in Generative AI to join our team. You will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of Generative AI systems.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Physics, Engineering, or related technical fields, with relevant industry experience.
- 3+ years of hands-on experience building, training, and deploying machine learning systems in production, including at least 2 years focused on Generative AI, RAG systems, or Agentic AI.
- Proven experience designing, training, and fine-tuning deep learning models from scratch (e.g., LLMs, computer vision, transformer-based), including SFT, prompt engineering, and model alignment techniques.
- Proven experience with agent-based architectures (task decomposition, tool use, reasoning workflows), RAG architectures (retrievers, vector databases, rerankers), and orchestration frameworks (LangGraph, LlamaIndex).
- Strong understanding of end-to-end ML system design, including data sourcing and preparation, training, evaluation, deployment, monitoring, and iteration.
- Experience with system-level evaluation and improvement, including LLM-as-a-judge methods, task-based success metrics, user-focused KPIs, human-in-the-loop validation, and ablations/error analysis to identify and address failure modes.
- Solid experience with data curation and augmentation, including pre-training and post-training pipelines, and experience with synthetic data generation for downstream applications.
- Strong problem-solving and analytical skills, with a system-thinking and customer-oriented mindset to translate complex business needs into technical solutions.
- Proficiency in Python and core ML/data libraries (e.g., PyTorch, HuggingFace, NumPy, Pandas), with strong software engineering practices (Docker, Git, CI/CD, reproducibility, code reviews) and experience building robust, modular, and scalable ML codebases.
- Experience with cloud platforms (ideally AWS).
- Excellent communication skills, with the ability to work collaboratively in a team environment, document and explain design decisions, experimental results, and communicate complex ideas effectively.
- Fluent in English.
Benefits
- Competitive annual salary starting from €55,000, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026.
- Hybrid role and flexible working hours.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
