Scientist with a strong background in machine learning. The ideal candidate must be willing to travel Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms collection and measurement protocols Feature Engineering: Engineer features and create data pipelines to prepare and clean data for modelling Work with data engineering teams to ensure data availability and quality Collaboration: Collaborate with business analysts, data engineers, and domain experts to understand and address
Advancement: Lead initiatives to integrate AI and machine learning technologies into the BI framework. Collaborate ETL processes. Experience with AI and machine learning technologies and their application in business Proactive and self-motivated with a strong desire to learn and innovate. Ability to adapt to changing business
requirement) Application Administration SSO, CRM (learn, create & manage user access app) End User desktop