AI Model Architect

2 weeks ago

Austin, Texas, United States Unreal Gigs Full time
Natural Language Processing (NLP) Role at Unreal Gigs

Are you passionate about developing advanced language models that can extract meaning from vast amounts of text, power conversational agents, and transform natural language data into actionable insights? As an NLP Engineer at Unreal Gigs, you'll design and deploy cutting-edge NLP models using machine learning and deep learning techniques to enhance our products and solve complex linguistic challenges.

About the Job
  • We're seeking an experienced NLP engineer with strong knowledge of NLP techniques, including text classification, named entity recognition, sentiment analysis, and machine translation.
  • You'll work with large-scale datasets, preprocess raw text data, and implement sophisticated language models using architectures like transformers, recurrent neural networks (RNNs), and bidirectional encoder representations (BERT, GPT).
  • Your expertise will power features like chatbots, voice assistants, sentiment analysis, and much more.
Responsibilities:
  1. Develop NLP Models and Algorithms: Design and implement cutting-edge NLP models using machine learning and deep learning techniques.
  2. Data Preprocessing and Feature Engineering: Preprocess and clean large textual datasets, converting unstructured data into structured formats suitable for model training.
  3. Train and Fine-Tune Language Models: Train, fine-tune, and optimize pre-trained language models like GPT, BERT, and T5 on custom datasets.
  4. Deploy NLP Solutions in Production: Work with engineering teams to deploy NLP models into production environments, ensuring models are scalable, efficient, and integrated seamlessly into applications.
  5. Model Evaluation and Performance Monitoring: Evaluate model performance using metrics such as accuracy, F1-score, precision, recall, and perplexity, and monitor models in production to retrain or fine-tune them as needed.
  6. Cross-Functional Collaboration: Work closely with product managers, software engineers, and data scientists to understand business goals and integrate NLP solutions into products.
Requirements
  • NLP Expertise: Strong knowledge of NLP techniques, including text classification, named entity recognition, sentiment analysis, and machine translation.
  • Programming and Tools: Proficiency in Python and experience with NLP libraries and frameworks like Hugging Face's Transformers, SpaCy, NLTK, or Stanford NLP.
  • Text Preprocessing and Feature Engineering: Expertise in preprocessing raw text data, including tokenization, stemming, lemmatization, and vectorization (TF-IDF, word embeddings).
  • Model Deployment: Experience deploying NLP models in production environments using tools like Docker, Kubernetes, or cloud-based services (AWS, Google Cloud, or Azure).
  • Research and Innovation: Strong interest in NLP research, with the ability to stay updated on new models, architectures, and methodologies.
Benefits
  • Estimated Salary: $150,000 - $200,000 per year, depending on experience.
  • Comprehensive medical, dental, and vision insurance plans.
  • Competitive vacation, sick leave, and 20 paid holidays per year.
  • Flexible work schedules and telecommuting options.
  • Opportunities for training, certification reimbursement, and career advancement programs.
  • Access to wellness programs, including gym memberships, health screenings, and mental health resources.

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