Title- Data Scientist/Gen Ai Engineer Location- Plano, TX (Fully Onsite From Day-1) Type- Contract- C2C/W2 Duration- 18+ Months Key Responsibilities: Design, develop, and implement machine learning models and AI solutions to address business needs. Work with Large Language Models (LLM), including fine-tuning and evaluating models (specific to one position). Develop Generative AI models and AI-driven agents to automate tasks and enhance business intelligence. Implement NLP techniques for analyzing and extracting insights from textual data. Perform supervised and unsupervised machine learning tasks to solve predictive modeling and classification problems. Build and maintain scalable solutions using technologies such as Python, MongoDB, and Databricks. Evaluate and test LLMs, applying insights to improve performance and effectiveness (specific to one position). Collaborate with cross-functional teams to understand data challenges and develop actionable AI solutions. Drive end-to-end machine learning workflows, from data preprocessing to model deployment and monitoring. Required Skills and Experience: Strong experience with Python and PySpark for data manipulation, modeling, and algorithm development. Proficiency with Databricks for data processing and model development. In-depth knowledge of Generative AI and NLP techniques. Experience in Large Language Model (LLM) tuning (OpenAI preferred) and application in real-world use cases. Experience in developing AI agents for automating decision-making or customer-facing processes. Solid understanding of supervised and unsupervised machine learning techniques (classification, clustering, regression, etc.). Strong analytical and problem-solving abilities, with a passion for working with data to create actionable insights. Experience in model evaluation, validation, and performance metrics, particularly for LLMs (specific to one position). Ability to communicate complex technical concepts to both technical and non-technical stakeholders.