NLP Application Engineer

ph3Arboretica is Empowering Change Through Data /h3pAre you a seasoned NLP professional passionate about using cutting-edge technology to make a real impact? At Arboretica, we leverage machine learning and data science to empower organizations with actionable insights and bring positive impact to the environment. We combine automated Open-Source Intelligence (OSINT) with expert analysis to extract and prioritize crucial information, streamlining workflows and accelerating decision-making for our clients. /ppTrusted by leading organizations globally, Arboretica unlocks connections and insights from massive public datasets across languages and formats. We’re seeking a highly motivated NLP Application Engineer (Contract) to join our growing team. You’ll work directly with our CEO, CTO, product, and development teams to deliver impactful and scalable data products. /ppThis position will be based in our Rotterdam office located at the Erasmus University campus, with a hybrid working style possible. /ph3Thrive in a Collaborative, Fast-Paced Environment /h3pAs a full-time team member, you’ll be an integral part of our small, agile, and multidisciplinary team. You’ll have the opportunity to collaborate with passionate problem-solvers who are dedicated to continuous learning and professional growth, all while having fun together. /ph3Responsibilities /h3ulliLeverage your expertise in NLP to apply Arboretica’s proprietary algorithms to various business and social challenges. /liliPrototype and rapidly test applications based on user feedback. /liliCollaborate on developing the user interface (UI) for the LLM application and contribute to building data pipelines. /liliAnalyze and evaluate the accuracy of results from various algorithms. /liliConduct research to support ongoing algorithm and product development. /li /ulh3Education and Experience /h3h3Minimum Qualifications: /h3ulliMaster’s degree (M.Sc.) in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative field (or Bachelor’s degree with significant experience). /liliExtensive experience in Python programming and the Jupyter Notebook/Lab environment. /liliIn-depth understanding of Natural Language Processing (NLP) techniques for tasks like text cleaning, tokenization, translation, sentiment analysis, and advanced areas like dialogue systems or question answering. /liliProven experience building web applications using a Python framework like Django or Flask. /liliExpertise in data wrangling, with the ability to query, clean, and manipulate complex datasets using Python for analysis. /liliDemonstrated passion for data exploration and a strong interest in interpreting public data for insights. /li /ulh3Preferred Qualifications: /h3ulliExcellent communication skills: Ability to explain technical concepts and analysis results clearly to both technical and non-technical audiences. Can translate business objectives into actionable data analysis plans. /liliExperience with APIs, databases, and version control systems (e.g., Git). /liliFamiliarity with Large Language Models (LLMs) and their capabilities (experience with specific LLM frameworks a plus). /liliA fast learner and adaptable professional who thrives in dynamic environments. /liliTeam player with a strong independent work ethic, able to collaborate effectively and manage tasks autonomously. /liliFluency in English (written and oral communication). /liliMultilingual skills are a plus. /li /ulh3Benefit of Working with Arboretica: /h3pArboretica is an equal-opportunity employer and offers a flexible working environment. You will receive the same benefits as our employees including: /pulliOpportunity to work on high-visibility and high-impact projects with the world’s leading organizations /liliHybrid working style with flexibility in locations /liliUnlimited holiday /liliFree coffee and snack /liliHigh value placed on taking initiative and ownership /liliOpen, communicative work environment /liliFlat organizational structure /liliRegular team outings and dinners /liliActive training opportunities in place, many of which are guided on-the-job training /li /ul /p #J-18808-Ljbffr