Microsoft

Nltk

BERT

Huggingface

#### About the Company

Fog City Code Works is a boutique software design and development company based in the San Francisco Bay Area. We specialize in delivering software and cloud-based solutions for enterprise and business applications, working with innovative clients across industries. With a strong track record of successful projects, we pride ourselves on offering top-tier professional services, leveraging the latest technologies from Microsoft, AWS, and Azure.

#### About the Role

We are seeking an experienced Natural Language Processing (NLP) Engineer with expertise in text classification to join our team on a contract basis. This role involves developing and optimizing machine learning models for categorizing unstructured text data. The ideal candidate will have extensive experience working with open-source NLP models (such as those from Hugging Face) or cloud-based NLP services (such as Azure Cognitive Services).

This is a 100% remote, part-time contract position (1099), requiring 20 hours per week for a 6-month duration. Regular team meetings will be conducted via MS Teams.

#### Key Responsibilities

- Model Development: Design, develop, and optimize NLP models for text classification using Hugging Face models or Azure Custom Text Classification.

- Data Preprocessing: Clean, preprocess, and transform large, pre-labeled text datasets for training and model improvement.

- Machine Learning Training & Optimization: Work through the full ML lifecycle, including data collection, model training, fine-tuning, and deployment.

- Research & Innovation: Stay updated on advancements in NLP and ML to improve model performance and efficiency.

- Collaboration & Implementation: Work closely with engineers to enhance system performance and explore emerging AI techniques.

- Performance Monitoring: Develop testing and monitoring protocols to ensure the reliability, accuracy, and scalability of AI-driven solutions.

#### Required Skills & Qualifications

- 8-10 years of experience in NLP system development.
- 5-8 years of experience with cloud-based AI services such as Hugging Face, AWS, or Azure.
- Strong experience in text classification using modern NLP techniques.
- Expertise in training, fine-tuning, and optimizing ML models for unstructured text processing.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

#### Nice-to-Have Skills

- Experience with deploying ML models in production environments.
- Familiarity with MLOps frameworks for managing ML workflows.
- Strong understanding of natural language understanding (NLU) beyond classification tasks.