Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
Developing predictive analytics models using various machine learning techniques
Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques, and iterate on model improvements
Building and maintaining data pipelines that are optimized for machine learning applications
Providing guidance on technology choices and design considerations for AI/ML programs
Collaborating with business analysts, project lead, management, and customers on requirements
Assisting with the training and enablement of end users, including data scientists, program managers, and data consumers
Sharing knowledge and experience to contribute to growth of overall team capabilities
Designing fit-for-purpose products to ensure products align to the customer’s strategic plans and technology road maps
Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.
Assisting team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary
Requirements & Skills:
Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.)
Experience producing meaningful visualizations/dashboards/presentations to business stakeholders
Experience solving “full stack” machine learning problems, from data collection to model training to deployment, and experience using machine learning.
Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)
