Data scientist

Role and Responsibilities
· Design, develop, implement, and maintain AIML products to solve specific business problems
· Optimize the existing codes using advanced programming skills
· Execute AIML POC projects
· Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes
· Work on various cloud platforms includes AWS, AZURE and GCP
· Work on big-data tools (Py Spark)
· Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments
· Create reports, projections, models, and presentations to support business strategy and tactics
· Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action.
Qualifications and Education Requirements
· Master's ...