We are looking for a skilled Data Scientist with experience in NLP and foundation model fine-tuning to join our team. You'll work on deploying and optimizing LLMs with a focus on real-world applications like OCR, NER, and entity linking.

Requirements:

• Minimum 2 years of experience in Natural Language Processing, particularly:
• Fine-tuning and optimizing foundation models.
• Task-oriented NLP applications (OCR, NER, entity linking).
• Strong programming skills in Python, with experience in building APIs using FastAPI.
• Practical experience deploying and tracing models using Langfuse, Langchain, and Langgraph.
• Familiarity with cloud-based model hosting, especially AWS Bedrock.

Responsibilities

• Develop and fine-tune NLP models for OCR, named entity recognition (NER), and entity linking tasks.
• Work with foundation models to optimize, fine-tune, and deploy them for task-specific applications.
• Build and maintain FastAPI-based services to expose model functionality.
• Integrate and manage model workflows using Langchain, Langgraph, and Langfuse.
• Utilize AWS Bedrock to leverage and deploy applicable models at scale.
• Collaborate with cross-functional teams to ensure model reliability, traceability, and performance.