Description

Build and deploy advanced natural language processing and large language model solutions.

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 LLMs like OpenAI for retrieval augmented generation, synthetic content generation, and abstractive summaries.
• Benchmark and evaluate multiple models to improve NLP and LLM performance.
• Collaborate with data scientists and ML engineers to deploy production solutions.

Required Skills

• 2+ years of experience with NLP algorithms, pre-processing, and developing models for classification, recommendation, clustering, and dimensionality reduction.
• Experience building NLP applications for machine translation, text summarization, and question answering.
• Strong understanding of natural language processing, machine learning, and deep learning algorithms.
• Proficiency in Python and working with Jupyter notebooks.
• Hands-on experience with NLP libraries such as NLTK, spaCy, or PyTorch.
• Experience with Git, CI/CD, and Linux environments.
• Experience working within Agile development teams.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, NLP, or a related field.

Preferred Skills

• Experience with deep learning architectures including RNNs, CNNs, and Transformers.
• Experience with transfer learning and fine-tuning large language models.

Key Skills

Education

Any Graduate