Gen AI resource 4

mmon NLP libraries, such as NLTK, spaCy, transformers, etc. Ability to write production-grade python code is a plus.

• Familiar with cloud platforms, such as Azure and NLP frameworks, such as Hugging Face, AllenNLP, etc.

Preferred qualifications:

• Experience with the technical aspects of analytics, data science, and statistical methodologies, data management, as well as analytical and data visualization software tools.

• Experience working in an enterprise setting, with knowledge of Data Management market segment and competitive dynamics/customer adoption behavior.

• Excellent communication skills, with the ability to communicate with both technical and business teams.

• Excellent leadership skills with the ability to motivate a team.

• Experience with programming languages such as Python, R, and SQL

• Strong analytical and problem-solving skills

• Excellent written and verbal communication skills

**Responsibilities

**

• Prototype and validate NLP solutions using agile methodologies and best practices. Conduct exploration and development on various NLP topics, such as text classification, named entity recognition, sentiment analysis, question answering, topic classification summarization, etc.

• Design, implement, and evaluate POCs and end-to-end solutions using OpenAI LLMs and other open source LLMs.

• Optimize and fine-tune the performance of LLMs using prompt engineering and RAG-based methods.

• Deploy and monitor NLP models and applications in production environments.

• Communicate and present NLP results and insights to internal and external stakeholders.

• Collaborate with other AI team members and stakeholders to understand the requirements, propose solutions, and deliver high-quality results.

• Communicate effectively with the business partners and present the solutions in a clear and concise manner.

• Stay updated with the latest developments and trends in NLP and LLMs.

Qualifications

Bachelor's/master's degree in computer science, Engineering, Mathematics or related field.

Schedule: Full-time
Req: 008WL6