Senior Data Scientist - Europe
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SeniorFull-time·B2B
#381022·Dodano dziś·0
Źródło: Xenon7Tech Stack / Keywords
AIGenerative AIMachine LearningLLMDatabasesCloudArchitectureAWS
Firma i stanowisko
Xenon7 is a cooperative practice of AI scientists and business leaders partnering with businesses to harness the power of Artificial Intelligence. The company focuses on empowering businesses to navigate AI complexity with confidence by delivering intelligent solutions. Their teams combine expertise from diverse disciplines to tackle complex challenges with creativity and agility, emphasizing continuous improvement and collaboration.
Wymagania
- 5+ years of experience as a Data Scientist delivering production-grade ML models.
- Strong background in Chemistry, Cheminformatics, or related scientific fields.
- Advanced proficiency in Python and hands-on experience with AWS cloud services (SageMaker, Lambda, S3, EC2).
- Practical experience with LLMs (fine-tuning, prompt engineering, API integration) and vector databases (Pinecone, Milvus, Weaviate, Qdrant).
- Expertise in ML/DL frameworks such as PyTorch, TensorFlow, and Scikit-Learn.
- Prior experience with Computer Vision, OCR, or Document AI systems is highly desirable.
- Strong analytical problem-solving skills and excellent communication abilities for collaborative environments.
Obowiązki
- Architect Document Intelligence Solutions: Design and implement advanced ML and Deep Learning models to parse and interpret text and chemical structures from scanned PDFs.
- Develop LLM & Retrieval Systems: Build and optimize Large Language Model applications using vector databases for semantic search and retrieval-augmented generation.
- End-to-End ML Pipelines: Manage the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring.
- Bridge Chemistry & AI: Apply chemistry domain knowledge to translate molecular structures into machine-readable formats and actionable insights.
- Cloud Architecture & Deployment: Deploy scalable and secure AI/ML pipelines within the AWS ecosystem.
- Cross-Functional Collaboration: Work closely with software engineers, data engineers, and domain experts to integrate ML models into the product architecture.
Xenon7
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