Senior Python Developer
2 months ago
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., Tensor Flow, 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., AWS, Google Cloud, Azure) and containerization technologies (e., 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., 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
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