
Data Pipeline Specialist
3 days ago
AI Engineer Role Overview
The primary objective of this position is to design and optimize data pipelines using Python, Pandas, and Scikit-learn.
Key Responsibilities:
- Develop and refine data pipelines for AI applications.
- Support Large Language Model (LLM) based initiatives through prompt engineering.
- Conduct thorough model evaluation and testing to ensure accuracy, reliability, and performance.
- Collaborate with Vector Database teams to implement embedding storage and retrieval solutions.
Additional Tasks:
- Assist in fine-tuning small models for production use.
- Design automation scripts for data preparation, cleaning, and feature engineering.
- Collaborate with product and engineering teams to integrate ML services into APIs.
Requirements:
- Strong analytical and problem-solving skills.
- Ability to work effectively in a collaborative environment with cross-functional teams.
- Curiosity and willingness to learn new AI tools and frameworks.
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