5 дней назад
AI/ML Engineer (Legal AI)
45 000 - 100 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (LLM/Legal AI): Building agent-driven and RAG-based AI systems, large-scale search pipelines, and NLP algorithms for complex legal tasks with an accent on LLM post-training, retrieval, and legal document processing. Focus on designing end-to-end evaluations, creating domain-specific datasets with legal experts, and integrating reliable ML systems into production.
Location: Hybrid role based in Milan, Italy, with in-person collaboration at the Milan HQ
Annual salary: €45,000–€100,000, plus equity
Company
Legal AI product company building a platform used by legal professionals across Europe to make legal work faster, clearer, and more reliable.
What you will do
- Design and build agent-driven and RAG-based AI systems for complex legal tasks.
- Fine-tune and post-train large language models using supervised and reinforcement learning techniques.
- Develop and optimize large-scale search and retrieval pipelines for LLM-powered agents.
- Implement NLP algorithms to extract, structure, and validate information from legal documents.
- Run end-to-end evaluations, identify bottlenecks, and guide continuous model and product improvements.
- Collaborate with legal experts, researchers, and engineers to create evaluation protocols and domain-specific datasets.
Requirements
- Proven expertise building and managing robust machine learning pipelines.
- Strong Python skills and hands-on experience with LLM research and deep learning systems.
- Knowledge of full-text search, vector databases, or other large-scale retrieval technologies.
- Ability to collaborate with legal experts, researchers, and engineers.
- Strong awareness of current LLM developments, ideally including pre-training or deploying large-scale models in production.
- Commitment to coding standards, best practices, and rigorous code reviews.
Nice to have
- Familiarity with MLOps.
- Experience integrating machine learning models into production backends.
Culture & Benefits
- Autonomous, focused teams working with high ownership and visible impact.
- Hybrid work combining remote flexibility with in-person collaboration in Milan.
- Comprehensive health coverage and meal vouchers.
- Performance bonuses and an equity package.
- Team retreats and off-sites.
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