Immediate hire - Data Scientist with Agentic AI - Plano, TX (Onsite) - Contract

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Position: Data Scientist with Agentic AI
Location: Plano, TX
Duration:12+Month
Need only Local to Texas

As a Data Scientist specializing in Agentic AI and language graphs, you will design, develop, and optimize autonomous AI agents capable of complex reasoning and decision-making. You will leverage advanced language graph models to represent, analyze, and generate structured knowledge that enhances agent capabilities. This role requires a blend of strong data science skills, natural language understanding, graph theory, and AI research experience.

Key Responsibilities:

• Develop and implement Agentic AI models that enable autonomous agents to perform goal-directed tasks with minimal supervision.
• Design and maintain sophisticated language graph structures that represent semantic knowledge, relationships, and context from large-scale text data.
• Apply graph neural networks (GNNs), knowledge graph embeddings, and natural language processing (NLP) techniques to improve agent comprehension and reasoning.
• Collaborate with cross-functional teams including AI researchers, software engineers, and product managers to integrate language graph-based Agentic AI into scalable applications.
• Conduct exploratory data analysis and feature engineering on large, heterogeneous datasets to support model training and evaluation.
• Experiment with and refine reinforcement learning, planning algorithms, and multi-agent coordination to enhance agent autonomy.
• Develop metrics and evaluation frameworks to measure agent performance, accuracy, and robustness.
• Stay current with the latest research in Agentic AI, graph-based NLP, and related fields, and apply best practices to advance our technology.
• Document methodologies, processes, and findings to facilitate knowledge sharing and reproducibility.

Qualifications:

• Proven experience in developing Agentic AI systems or autonomous AI agents.
• Strong expertise in language graphs, knowledge graphs, or semantic graph representations.
• Proficiency with graph databases and frameworks (e.g., Neo4j, DGL, PyTorch Geometric).
• Solid background in NLP techniques including transformers, language models, and embedding methods.
• Experience with graph neural networks and advanced graph algorithms.
• Programming proficiency in Python and relevant AI/ML libraries
• Familiarity with reinforcement learning and planning algorithms is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, innovative environment.

Preferred:

• Publications or contributions to Agentic AI, language graph, or related AI research.
• Experience with cloud platforms (Azure preferred) for deploying AI models.
• Knowledge of multi-agent systems and distributed AI.

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