Data Scientist in Greenwood Village, CO (W2 Only)

Job Title: Data Scientist Location Greenwood Village, CO 80111 Employment Type: Long Term Contract Experience: 5+ Years W2 Only About the Role We are seeking a skilled Data Scientist / ML Engineer with strong experience in AI, Machine Learning, and NLP. This role focuses on building and deploying scalable ML models, working with Large Language Models (LLMs), and solving real-world business problems using data-driven approaches.🔹 Key Responsibilities • Develop, deploy, and maintain machine learning models in production environments • Work on NLP use cases such as text classification, sentiment analysis, and conversational AI • Design and implement solutions using Large Language Models (LLMs) (e.g., BERT, GPT, RoBERTa) • Apply fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) techniques • Perform data preprocessing, feature engineering, and model evaluation • Work with large-scale structured and unstructured datasets • Collaborate with cross-functional teams to translate business problems into ML solutions • Present insights and results to both technical and non-technical stakeholders • Continuously improve model performance, scalability, and efficiency 🔹 Required Qualifications • 5+ years of experience in Data Science, Machine Learning, or AI-focused roles • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) • Hands-on experience with TensorFlow or PyTorch • Proven experience with NLP and ML model development • Strong understanding of AI/ML principles and LLMs • Experience working with LLMs (BERT, GPT, RoBERTa) • Hands-on experience with fine-tuning, prompt engineering, and RAG • Experience with cloud platforms (AWS, Azure, or GCP) • Strong SQL skills and experience handling large datasets • Excellent communication and stakeholder management skills 🔹 Preferred Skills • Experience with MLOps (deployment, monitoring, lifecycle management) • Familiarity with CI/CD, Docker, Kubernetes • Experience with model explainability (XAI) • Knowledge of data governance, privacy, and compliance • Experience with AI automation tools/frameworks • Exposure to telecom or customer interaction data (nice to have) • Experience working in Agile environments 🔹 Nice to Have • Graph Analytics • Advanced NLP techniques • AutoML tools and frameworks