Applied ML Engineer
ML – Full time
Seattle, WA
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 building products using its API.
Qualifications
- The ideal candidate will have a strong understanding of natural language processing and machine learning, as well as experience integrating with large language models.
- Master’s degree in computer science, Artificial Intelligence, Natural Language Processing, or a related field.
- 1-2 years of experience developing NLP models, Predictive AI Solutions.
- 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 Spacy / PyTorch.
- Experience with Git, CI/CD, and Linux environments.
- Experience working with Agile development teams.
- Excellent communication and collaboration skills.
- Experience with deep learning architectures such as RNNs, CNNs, and Transformers.
- Experience with transfer learning and fine-tuning of large language model.
Responsibilities
- language models and deploying it as an API.
- 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.
Bonus Qualifications
Experience with deep learning architectures such as RNNs, CNNs, and Transformers Experience with transfer learning and fine-tuning of large language model.