The Role is a pillar in the Veeva system landscape that envisions “Connecting life sciences and key people to improve research and care.” Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.You will contribute to a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production for various regions, languages, and medical specialties. You train ML models empowered by over 2000 curators to meet both the quality and the scale requirements.You are welcome to work remotely from any location within Spain. It's essential that you reside in Spain and have legal authorization to work without needing Veeva to assist with visa or relocation matters. If you're planning to relocate to Spain independently from Veeva, we're open to considering your application, especially if you're a remarkable fit for the role. In such scenarios, kindly supply an extra document that outlines your impending or current location, visa status, and the reasons that make you an excellent fit.What You'll DoDevelop machine learning models at scale and in the AWS cloud to structure and analyze textual dataAdopt the latest technologies and trends in NLP to your solutionFine-tune and serve Large Language ModelsUse and develop named entity recognition, entity-linking, slot-filling, few-shot learning, question/answering, dense passage retrieval, layout-informed models, and other statistical techniques and models for information extraction and machine readingDeeply understand and analyze our data model per data source and geo-region and interpret model decisionsCollaborate with data quality teams to define annotation task metrics, perform qualitative and quantitative evaluation, and implement human-in-the-loop processesCollaborate with engineering teams to deploy models to productionRequirements2+ years of experience as an NLP EngineerRecent graduates with a Ph.D. in NLP may also be consideredFluent in Python and experience with bashing scriptStrong analytical skills and data curiosityGood English and strong communication skillsExperience in at least one framework for BigData (e.g. Ray, Spark) and one framework for Deep Learning (e.g. PyTorch, JAX)Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworksUsed to start-up environmentsSocial competence and a team playerHigh energy and ambitiousAgile mindsetNice to HaveBackground in Medical NLPExperience in the life/health science industry, notably PharmaHaving published in AI space in a peer-reviewed journalProduction-grade Development SkillsCloud development, especially AWSLeadership skills and a solid network to help in hiring and growing the teamExperience in containerization, Kubernetes, and relevant distributed computing for training and inferenceExperience with NoSQL databases, especially MongoDBFamiliarity with model registry solutions such as MLflowPerks & BenefitsPersonal development budget Veeva charitable giving programFitness reimbursementLife insurance + pension fund#RemoteSpainVeeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.