Data Scientist - IntelliScript

- Over 15 years of professional experience in developing high ROI commercial data science solutions using AI/ML - Proficient data scientist with expertise across the entire ML lifecycle, including problem framing, feature engineering, and model deployment - Experience in supervised learning techniques, such as classification and regression with tree-based models and ensemble methods - Familiarity with unsupervised learning, including clustering and anomaly detection - Strong skills in model validation techniques like cross-validation and A/B testing - Expertise in deep learning with knowledge of modern neural network architectures - Experience with natural language processing from text processing to language understanding - In-depth understanding of Generative AI and ability to deploy and integrate local LLMs - Advanced proficiency in Python programming, with familiarity in R and/or SQL - Experience using Databricks or similar cloud model development tools, including MLflow - Understanding of software engineering practices such as Git, unit testing, and environment management - Knowledge of ML Engineering and ML Ops tools, including CI/CD pipelines and Docker - Degree in a relevant field such as computer science, data science, or related disciplines