обновлено 3 дня назад
Senior Data Scientist I (GenAI/NLP)
53 800 - 89 900€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist I (GenAI/NLP): Building and deploying production-ready GenAI, RAG, and NLP solutions for life sciences products with an accent on multilingual data processing, transformer models, and model evaluation. Focus on optimizing agentic RAG pipelines, creating robust Python data science components, and leading end-to-end projects with biology and chemistry subject matter experts.
Location: Amsterdam, Netherlands
Salary: €53,800–€89,900 per year
Company
is an information and analytics company supporting scientific research, healthcare, health education, and clinical practice through publishing, data, and technology.
What you will do
- Develop, test, deploy, and maintain GenAI, RAG, NLP, and machine learning solutions for life sciences products.
- Build production-ready Python packages for data collection, preprocessing, model inference, and pipeline components.
- Optimize RAG pipelines covering content ingestion, machine translation, and contextualized information retrieval.
- Ingest and transform large-scale multilingual data and establish quality metrics, evaluation processes, and reporting.
- Build agentic AI models, manage model drift, and develop automated retraining strategies.
- Lead projects, collaborate with software engineers and biology and chemistry subject matter experts, and mentor junior data scientists.
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 5+ years of applied data science experience focused on Generative AI, NLP, and machine learning.
- Strong Python, transformer models, Generative AI, LLM APIs, prompt engineering, and LLM evaluation experience.
- Experience building agentic RAG systems is required. Experience with LangChain or similar agent management frameworks is expected.
- Knowledge of deep learning, neural networks, reinforcement learning, transfer learning, traditional machine learning, cloud deployment, OpenSearch, Databricks, Git, Jira, and Agile practices.
- Strong analytical, communication, collaboration, and problem-solving skills.
Culture & Benefits
- Flexible working hours to support productivity and work-life balance.
- Wellbeing initiatives and shared parental leave.
- Study assistance and sabbaticals.
- Benefits specific to the Netherlands location.
- Employment covered by the Collective Labor Agreement Publishing Industry.
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