| The AI Analytics Engineer will design and optimize AI/ML models to enhance Client's decision-making capabilities. This role involves creating scalable solutions, managing data pipelines, and integrating advanced analytics into business processes. The ideal candidate will have expertise in machine learning, data engineering, and Client's objectives. Additionally, they will leverage Large Language Models (LLMs) for natural language processing, improving customer interactions and automating content generation. Staying updated on LLM advancements to innovate solutions that align with Client's goals is essential. | 1. Strong proficiency in machine learning and data engineering 2. Expertise in developing and deploying AI/ML models 3. Experience with Large Language Models (LLMs) and natural language processing 4. Proficiency in programming languages such as Python or R 5. Advanced SQL skills for data manipulation and querying 6. Familiarity with data pipeline tools and frameworks 7. Ability to collaborate with cross-functional teams 8. Strong problem-solving and analytical skills 9. Knowledge of cloud platforms and services 10. Understanding of Client's business objectives and strategy 11. Robust prompting strategies and results validation. |