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