Sr. Python Developer

Job Responsibilities:
 Design, develop, and implement data extraction systems using Large Language Models (LLMs) such as GPT-4.
 Collaborate with data scientists, engineers, and product managers to understand data extraction requirements and objectives.
 Fine-tune and customize LLMs for specific data extraction tasks, ensuring high accuracy and efficiency.
 Create and maintain data pipelines for the extraction, processing, and storage of large datasets.
 Conduct performance testing and optimization of LLMs to enhance data extraction capabilities.
 Develop and document best practices for LLM-based data extraction processes.
 Stay updated with the latest advancements in AI and LLM technologies to continually improve data extraction methodologies.
 Troubleshoot and resolve issues related to data extraction processes and models.

Job Requirements:
 Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
 Proven experience with LLMs and natural language processing (NLP) technologies.
 Proficiency in programming languages such as Python, with experience in AI/ML libraries (e.g., TensorFlow, PyTorch).
 Strong understanding of data structures, algorithms, and software engineering principles.
 Experience with data extraction, ETL processes, and database management.
 Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
 Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
 Strong communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.

Preferred Skills:
 Experience with transformer-based models like GPT-4, BERT, etc.
 Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
 Understanding of regulatory and compliance requirements related to data handling and privacy.
 Prior experience in developing and deploying machine learning models in production environments.,