<h3>About us:</h3><p>Where elite tech talent meets world-class opportunities!</p><p>At <a href="https://himalayas.app/companies/xenon7">Xenon7</a>, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.</p><p>We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional <strong>AI &amp; ML Professionals </strong>ready to solve real-world problems and shape the future of intelligent systems.</p><p><strong>Location:</strong> Remote (Europe - CET)<br><strong>Experience:</strong> 5+ Years</p><p><strong>Project Duration:</strong> ~ 2 months (B2B contract)<br><strong>Availability:</strong> Immediate Joiner</p><h3>Role Overview</h3><p>We are seeking a visionary and highly skilled <strong>Senior Data Scientist</strong> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><ul><li><strong>Architect Document Intelligence Solutions:</strong> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><strong>Develop LLM &amp; Retrieval Systems:</strong> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><strong>End-to-End ML Pipelines:</strong> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><strong>Bridge Chemistry &amp; AI:</strong> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><strong>Cloud Architecture &amp; Deployment:</strong> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with software engineers, data engineer