Python NLP and LLM Engineer
Remote
W2 or 1099 contract only
Summary:
We are seeking a talented and experienced Python NLP and LLM developer to join our team. The ideal candidate will have a strong understanding of natural language processing and machine learning, as well as experience integrating with large language models and deploying it as an API.
Responsibilities:
• Develop and implement state-of-the-art NLP and LLM solutions
• Design, engineer and evaluate NLP pre-processing, model training and inference pipelines
• Integrate with LLMs like OpenAI for implementing retrieval augmented generation, synthetic content generation, creating abstractive summaries etc.
• Ability to benchmark and evaluate multiple models
• Evaluate and improve NLP and LLM performance
• Collaborate with data scientists and ML engineers to develop and deploy NLP and LLM solutions
Qualifications:
• Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field
• 2+ years of experience using NLP algorithms, pre-processing, developing models for classification, recommendation, clustering, dimensionality reduction.
• Experience developing NLP applications such as machine translation, text summarization, and question answering
• Strong understanding of natural language processing, machine learning and Deep learning algorithms
• Excellent Experience with Python and working with Jupyter notebooks
• Experience working with NLP libraries like NLTK / spaCy / PyTorch
• Experience with Git, CI/CD and Linux environments
• Experience working with Agile development teams
• Excellent communication and collaboration skills
Job Type: Contract
Salary: $50.00 - $52.00 per hour
Expected hours: 40 per week
Experience level:
• 8 years
Schedule:
• 8 hour shift
Application Question(s):
• Are you comfortable to work on W2 or 1099 contract?
Experience:
• Python: 8 years (Preferred)
• Natural language processing: 3 years (Preferred)
• LLM: 3 years (Preferred)
• PyTorch: 3 years (Preferred)
Ability to Relocate:
• Remote: Relocate before starting work (Required)
Work Location: Remote
