Sourceability

Sourceability

Principal NLP Scientist

United States · Principal

Sponsorship not specifiedDetected 5 days ago
PythonC#.NETSQLVector DatabasesAWSAzureCloud PlatformsDockerCI/CDMachine LearningPyTorchscikit-learnPandasNumPyData AnalysisData ScienceNLPLLMsRAGLLMOpsMLOpsLogisticsProcurement

About the role

  • Sourceability ® is a global digital distributor of electronic components transforming how modern businesses bring products to market.
  • The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for production business systems.
  • This role combines applied research, hands-on model development, technical architecture, and practical product impact.

Responsibilities

  • 5+ years of hands-on experience building NLP models for production or near-production systems
  • Ability to design experiments, define success metrics, compare model approaches, and explain trade-offs clearly
  • Create a technical roadmap for improving NER, classification, generation, and information extraction capabilities
  • Deliver at least one meaningful prototype or improvement proposal with measurable business value

Requirements

  • Strong practical experience with NLP tasks such as NER, classification, text generation, semantic similarity, information extraction, and document understanding
  • Strong experience with Large Language Models, including model evaluation, prompt design, fine-tuning, retrieval-augmented generation, and safe production usage
  • Strong hands-on experience with Python
  • Strong experience with PyTorch and Hugging Face Transformers
  • Experience with ONNX or other model optimization / model serving formats
  • Strong understanding of data preparation, data quality, labeling workflows, annotation guidelines, and model evaluation metrics
  • Experience with cloud platforms such as Microsoft Azure or AWS

Nice to have

  • Experience leading NLP or AI research initiatives in a commercial production environment
  • Experience with multilingual NLP systems
  • Experience with vector databases, embeddings, semantic search, and RAG architectures
  • Experience with knowledge graph concepts, including entity and relationship modeling, graph schema design, traversal queries, and LLM integration with graph databases such as Neo4j, FalkorDB, or similar technologies
  • Experience with model serving, monitoring, drift detection, and production ML observability
  • Experience with Docker and containerized ML workloads
  • Experience working with data annotation teams and creating annotation instructions
  • Experience with.NET / C#, ASP.NET Core, or integration of ML services into enterprise software platforms

Skills

  • Product Group | NLP / AI Automation
  • Stream | Software Engineering / AI & Machine Learning
  • Role Type | Principal-level individual contributor / technical leader
  • Named entity recognition and structured data extraction
  • Text classification and categorization
  • Text generation and language-based automation
  • Large Language Model evaluation, adaptation, and integration
  • Retrieval-augmented generation and semantic search
  • Data preparation, annotation strategy, and labeling quality
  • Model evaluation, monitoring, and production performance
  • Applied NLP research and prototype development
  • Integration of NLP models into internal business applications

Benefits

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Applied Mathematics, Data Science, or a closely related technical field
  • 8+ years of professional experience in machine learning, artificial intelligence, or NLP
  • Practical experience with main data analysis and machine learning libraries, including Pandas, NumPy, SciPy, scikit-learn, and Matplotlib

Equal opportunity

  • EMPLOYER.
  • It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, sexual orientation, or any other protected status.

Visa & Work Authorization

  • prohibiting employment discrimination based on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disabilit
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