Cognitell is seeking a Machine Learning (ML) Engineer proficient in GCP Cloud Services to support our data science and machine learning practice.The ML Engineer will develop machine learning and data science solutions, analytics solutions, and data storage and data pipeline solutions primarily in the GCP cloud stack. This role will be responsible for performing data analysis, developing and validating machine learning models, researching relevant statistical methods, and providing recommendations for operationalizing machine learning models into production.
To succeed in this role, you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights.
The successful candidate will be comfortable with a variety of machine learning models in Python or R as well as advanced SQL query and data mining techniques. The candidate will have strong analytical skills and a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners to define and understand key questions and analyze data to answer those questions – driving strategic business decisions.This is a telecommuting (virtual) role which may be working with federal clients and requires aUS citizenshipand residencywithin the US.
Environment (Working conditions, physical requirements)