Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Freelancer
- Location
- Berlin
- Working Model
- Full Remote
Job Summary
In this role, you will transform unstructured data from scanned PDF documents containing chemical structures into searchable knowledge bases, develop ML models, and optimize LLM applications for semantic data interpretation.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- Project Duration: ~ 2 months (B2B contract).
- Immediate Joiner.
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Topics that you deal with on the job
Job Locations
This is your employer
Xenon7
Xenon Seven is a consulting firm based in New York that specializes in artificial intelligence and machine learning. The company offers services and products to help businesses distinguish between hype and sound investments. With a clear focus on AI strategy and ethical decision-making, Xenon Seven assists both global organizations and innovative startups in tackling complex challenges.
Description
- Company Type
- Established Company
- Working Model
- Full Remote
- Industry
- Consulting
Senior Data Scientist
- Location
- Berlin
- Working Model
- Full Remote
- Diversity
- Open for all genders
- English Only
- English only required
