NLP and LLM Engineer

Job Summary

We are looking for a skilled NLP and LLM Engineer to join our growing team. You will be responsible for designing, developing, and implementing cutting-edge natural language processing (NLP) and Large Language Model (LLM) solutions that power our products and services. This role involves working with state-of-the-art models, data pipelines, and collaborating with cross-functional teams to deliver innovative AI-driven features.

Responsibilities

• Design, develop, and deploy NLP and LLM-based solutions for various business applications.
• Fine-tune, adapt, and optimize pre-trained LLMs for specific use cases.
• Develop and maintain robust data pipelines for text data preprocessing, feature extraction, and model training.
• Collaborate with product managers, data scientists, and software engineers to integrate NLP/LLM capabilities into our products.
• Research and implement the latest advancements in NLP and LLM technologies.
• Evaluate model performance, identify areas for improvement, and iterate on solutions.
• Write efficient, well-documented, and maintainable code.
• Stay current with the rapidly evolving field of AI and machine learning.
• Contribute to the overall architecture and strategy for AI/ML initiatives.

Qualifications

• Bachelors or Masters degree in Computer Science, Computational Linguistics, AI, or a related quantitative field.
• Proven experience in Natural Language Processing (NLP) and working with Large Language Models (LLMs).
• Strong programming skills in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Hands-on experience with LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API).
• Experience with ML model development, training, and evaluation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and associated ML services.
• Experience with data processing and database querying (e.g., SQL).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience in deploying ML models into production environments is a plus.
• Experience in the healthcare or insurance industry is a plus.

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