Senior Data Scientist
New
X
Xenon7AI & Data
Berlin, Germany. Poland. France. Serbia. Spain. Croatia, CETContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonMachine LearningPyTorchTensorflowDeep Learningscikit-learn
Requirements
- 5+ years of proven experience as a Data Scientist with a track record of delivering production-grade machine learning models.
- Strong background in Chemistry, Cheminformatics, or a highly related scientific field.
- Advanced proficiency in Python.
- Deep hands-on experience with AWS cloud stack (SageMaker, Lambda, S3, EC2).
- Practical experience with LLMs (fine-tuning, prompt engineering, or API integration).
- Experience with vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).
- Robust experience in model development, validation, deployment, and evaluation tools (PyTorch, TensorFlow, Scikit-Learn).
- Strong analytical problem-solving skills and excellent communication.
- Ability to thrive in a cross-disciplinary project environment.
Responsibilities
- Architect and implement ML/DL models to parse and interpret text and complex chemical structures from scanned PDF documents.
- Develop and optimize LLM applications, utilizing vector databases for semantic search and retrieval-augmented generation (RAG).
- Manage the end-to-end ML lifecycle including data preprocessing for chemical data and OCR, model training, evaluation, deployment, and monitoring.
- Translate molecular structures and chemical data into machine-readable formats and embeddings using chemistry domain knowledge.
- Deploy scalable AI/ML pipelines within the AWS ecosystem ensuring high availability.
- Collaborate cross-functionally with software and data engineers to integrate models into the core product.
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