About Role:Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.About Role:Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)Maintain and version model registries and artifact stores to ensure reproducibility and governanceDevelop and manage CI/CD for ML, including automated data validation, model testing, and deployment.Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML.End-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hostedDesign and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBsBuild evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing.Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilizationStay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systemsCollaboration Partner with Data Scientists, Engineers, Subject Matter Experts, Product Managers, and Responsible AI experts to support translate business problems into cutting edge data science solutionsCollaborate and interface with Operations Engineers who deploy and run production infrastructure.Required Qualifications 5+ years in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.Strong Python, Java, and/or Scala engineeringExperience with statistical analysis, machine learning theory and natural language processingHands on experience with major cloud vendor solutions (AWS, Azure and/or Google)Search/vector/graph technologies (e.g., Elasticsearch/OpenSearch/Solr//Neo4j).Experience in evaluating LLM modelsBackground with scholarly publishing workflows, bibliometrics, or citation graphsA strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metricsFamiliarity with ML frameworks, e.g., PyTorch, TensorFlow, PySparkExperience with large scale data processing systems, e.g., SparkWork in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working for youWe know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Dutch Share Purchase PlanAnnual Profit Share BonusComprehensive Pension PlanHome, office or commuting allowanceGenerous vacation entitlement and option for sabbatical leaveMaternity, Paternity, Adoption and Family Care leaveFlexible working hoursPersonal Choice budgetVariety of online training courses and career roadshowsWellbeing programs and gym facility in the officeInternal communities and networksVarious employee discountsRecruitment introduction rewardWork from anywhereEmployee Assistance Program (global)Annual EventAbout the businessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.