Senior Data Extraction Engineer

2 weeks ago

Any Location, India Infnitrix Consulting Pvt Ltd Full time

Job Description


- Design, develop, and implement data extraction systems using Large LanguageModels (LLMs) such as GPT-4.

- Collaborate with data scientists, engineers, and product managers to understanddata extraction requirements and objectives.

- Fine-tune and customize LLMs for specific data extraction tasks, ensuring highaccuracy and efficiency.

- Create and maintain data pipelines for the extraction, processing, and storage oflarge datasets.

- Conduct performance testing and optimization of LLMs to enhance data extractioncapabilities.

- Develop and document best practices for LLM-based data extraction processes.

- Stay updated with the latest advancements in AI and LLM technologies to continuallyimprove 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 relatedfield.

- Proven experience with LLMs and natural language processing (NLP) technologies.

- Proficiency in programming languages such as Python, with experience in AI/MLlibraries (e.g, TensorFlow, PyTorch).

- Strong understanding of data structures, algorithms, and software engineeringprinciples.

- Experience with data extraction, ETL processes, and database management.

- Familiarity with cloud computing platforms (e., AWS, Google Cloud, Azure) andcontainerization technologies (e., Docker, Kubernetes).

- Excellent problem-solving skills and the ability to work in a fast-paced, collaborativeenvironment.

- Strong communication skills, both written and verbal, to effectively convey technicalconcepts 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 warehousingsolutions.

- Understanding of regulatory and compliance requirements related to data handlingand privacy.

- Prior experience in developing and deploying machine learning models in productionenvironments

(ref:hirist.tech)

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