Title- Data Scientist/GenAI Engineer Location- Plano TX (On-site) Duration: 18 months Job Summary: We are seeking a highly skilled Data Scientist with a strong foundation in Python, Machine Learning, and Generative AI to join a dynamic and innovative team. The ideal candidate will bring hands-on expertise in Natural Language Processing (NLP), Large Language Models (LLMs) (especially OpenAI), and advanced data analytics platforms such as Databricks and MongoDB. This role requires a balance of technical excellence, creativity in developing AI solutions, and practical implementation skills to build and optimize intelligent systems at scale. Key Responsibilities: • Design, develop, and deploy LLM-based applications, with a focus on Generative AI and agent-based architectures. • Implement and fine-tune Large Language Models, preferably using OpenAI APIs, for various enterprise use cases. • Apply NLP techniques to extract, analyze, and interpret complex data from unstructured sources. • Use supervised and unsupervised machine learning methods to generate insights and predictions from large-scale datasets. • Build robust data pipelines and workflows using Python, Databricks, Spark, and PySpark. • Leverage MongoDB and other NoSQL databases for data storage, retrieval, and manipulation. • Evaluate model performance, especially LLM evaluation metrics, to ensure efficiency and effectiveness. • Collaborate with full-stack developers and data engineers for seamless integration of ML models with MongoDB, SQL, React, and API-driven platforms. • Stay current with advancements in AI/ML, and bring innovative solutions to enterprise data and AI services. Required Skills and Qualifications: • Strong proficiency in Python for data science, automation, and ML workflows. • Expertise in Databricks, PySpark, and Spark for scalable data processing. • Solid experience in MongoDB and other modern database technologies. • Practical experience in Generative AI and building intelligent AI agents. • Hands-on knowledge of Natural Language Processing techniques and tools. • Proven track record of LLM tuning and customization, with a preference for OpenAI-based models. • Familiarity with LLM evaluation methodologies and tools (specific to one role). • Deep understanding of machine learning algorithms – both supervised and unsupervised. • Excellent communication and collaboration skills for working in cross-functional teams. Preferred Qualifications: • Experience in telecom, enterprise AI, or large-scale data environments. • Exposure to full-stack development (React, MongoDB) and API development. • Familiarity with MLOps practices and CI/CD for ML model deployment.