.About usAt RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.Join a Company that is Powering the Future of Finance with AIRavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.Com, a next-generation platform aimed at transforming financial decision-making.We're looking forRavenPack is searching for a Senior ML/NLP Researcher to join our Data Solutions Research Team at our Spanish headquarters. We offer competitive compensation and a fun working environment. Relocation assistance is available.As a ML/NLP Researcher you will play a key role creating innovative data products, both supporting internal processes and by engaging directly with clients as part of the product discovery process, allowing you to gather feedback and iterate on development to deliver impactful solutions.The ability to communicate effectively in English both in writing and verbally is a must.European legal working status is required.Your Responsibilities:Collaborate with a team of dedicated professionals to develop data-driven solutions that directly enhance our external products as well as the internal tools and processes that improve the efficiency and effectiveness of those.Apply your expertise to tackle real-world challenges, demonstrating the benefits of systematic, data-driven processes. These can range from optimizing systematic processes for curating and maintaining our Knowledge Graphs, and enhancing document contextualization for improved retrieval, to fine-tuning large language models (LLMs) for specialized tasks, and coordinating various agents within LLM-driven workflows, among other possibilities.Stay informed about industry trends and advancements in Machine Learning (ML) and Natural Language Processing (NLP) to ensure our solutions remain competitive and relevant.What We're Looking For:A Master's or PhD in a relevant field, with practical, hands-on experience in Natural Language Processing (NLP) and a strong understanding of state-of-the-art language models.5+ years of industry experience, contributing to business growth.Exceptional quantitative, analytical, and problem-solving skills, with a proven ability to apply logical and mathematical reasoning to a variety of challenges.Experience using deep learning frameworks (Pytorch, HuggingFace..)