Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Freiberufler
- Ort
- Berlin
- Arbeitsmodell
- Full Remote
Job Zusammenfassung
In dieser Rolle transformierst du unstrukturierte Daten aus gescannten PDF-Dokumenten mit chemischen Strukturen in durchsuchbare Wissensbasen, entwickelst ML-Modelle und optimierst LLM-Anwendungen zur semantischen Dateninterpretation.
Job Technologien
Deine Rolle im Team
- We are seeking a visionary and highly skilled Senior Data Scientist 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.
- Architect Document Intelligence Solutions: 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.
- Develop LLM & Retrieval Systems: Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).
- End-to-End ML Pipelines: Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.
- Bridge Chemistry & AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.
- Cloud Architecture & Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.
- Cross-Functional Collaboration: Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.
Unsere Erwartungen an dich
Qualifikationen
- Domain Expertise: A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.
- Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.
Erfahrung
- Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.
- Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).
- Generative AI & Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).
- ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).
- Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.
Unser Angebot
- Project Duration: ~ 2 months (B2B contract).
- Availability: Immediate Joiner.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Xenon7
Xenon Seven ist ein Beratungsunternehmen mit Sitz in New York, das sich auf künstliche Intelligenz und maschinelles Lernen spezialisiert hat. Die Firma bietet Dienstleistungen und Produkte an, um Unternehmen dabei zu unterstützen, zwischen Hype und soliden Investitionen zu unterscheiden. Mit einem klaren Fokus auf AI-Strategie und ethische Entscheidungen hilft Xenon Seven sowohl globalen Organisationen als auch innovativen Startups, komplexe Herausforderungen zu bewältigen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote
- Branche
- Beratung
Senior Data Scientist
- Ort
- Berlin
- Arbeitsmodell
- Full Remote
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
