Job Description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

1. Develop and implement data models using RAG, Semantic Models, Vector DB (Cosmos, Postgre), and other relevant technologies.

2. Design and execute data analysis and machine learning algorithms to derive insights from large datasets.

3. Collaborate with cross-functional teams to define data requirements and develop data-driven solutions.

4. Utilize Chat GPT, Bing Web Search APIs, and Context Reranker to gather and process information for data analysis and model training.

5. Implement Guarrails Handler and LLM Handler to manage and process data requests, ensuring efficient data retrieval and processing.

6. Develop and maintain data pipelines, ETL processes, and data storage solutions.

7. Perform data quality checks, identify and resolve data discrepancies, and ensure data integrity.

8. Create visualizations and reports to communicate data insights and findings to stakeholders.

9. Stay up-to-date with industry trends, emerging technologies, and best practices in data science. 10. Mentor and support junior team members in data science techniques and methodologies.

If you are interested in this opportunity, please submit your resume to [email protected] . We look forward to reviewing your application and discussing this exciting opportunity with you.