AI Programmer - Large Language Model & Document Parsing (2-5 yrs)

Job Description :

We are seeking an innovative AI Programmer with specialized expertise in Large Language Models (LLMs) and document parsing. The ideal candidate will have a strong background in AI and machine learning, with specific skills in processing and analyzing a wide range of document formats, including PDF, Word, Excel, and images.

This role involves developing and implementing AI solutions to prepare summaries, generate responses, and enhance data accessibility from complex document structures.

Key Responsibilities :

- Develop, test, and deploy AI models, particularly large language models (LLMs), for natural language understanding and generation.

- Design and implement algorithms for parsing various document formats (PDF, Word, Excel, images) to extract and process text and data.

- Create systems to automatically generate summaries and responses based on content extracted from diverse document types.

- Collaborate with cross-functional teams to integrate AI models into broader systems or applications.

- Maintain and optimize existing AI models for performance and accuracy.

- Stay current with emerging trends and advancements in AI, machine learning, and document processing technologies.

Technical Knowledge Requirements :

- Proficient in advanced machine learning techniques, particularly in natural language processing (NLP) and understanding (NLU).

- Strong knowledge of LLMs like GPT-3, BERT, or similar frameworks, and their application in text analysis, summarization, and generation.

- Expertise in programming with Python, including familiarity with libraries like NumPy, Pandas, Scikit-learn, SpaCy, and NLTK.

- Experience in developing and deploying models in production environments using frameworks like Docker, Kubernetes, or similar technologies.

- Knowledge of RESTful API development for integrating AI models into applications.

- Familiarity with version control tools like Git and CI/CD practices.

- Understanding of data structures, algorithms, and software engineering principles.

Qualifications : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.