Machine Learning Engineer - EA Team Inc.
Phoenix, AZ 21076
About the Job
Machine Learning Engineer
Location: Phoenix, AZ, Hybrid
Duration: 12+ Months with possibility of extension
Job Description:
The Enterprise Web Intelligence Team is responsible for customer journeys and search engine optimization as there has been several website data governance regulations put into place globally that this team will need to create new code for. Right now, they are still in discovery phase for the platforms that they will be building. They are looking for a talented Client Engineers that can help capture 13,000 pages of data that needs to be captured in the cloud.
Enterprise Req Skills
Data science, Machine Learning, Predictive Modelling, Algorithm, Data Analysis, Artificial Intelligence, Api, Python, SQL
Top Skills Details
1) 4+ years of Machine Learning Experience
2) Knowledge of Client frameworks like TensorFlow, scikitlearn, PyTorch , Keras etc.
3) Data structures, data modelling and feature extraction
Additional Skills & Qualifications
More than 70%+ of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Machine Learning in Client
Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide
Not only crafting Client model prototypes, but also putting them into production in scale
Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow
Work with a dynamic team and play a visible role in implementing groundbreaking technology and machine learning solutions with other industry-leading partners
Works with large, complex data sets to build products and tools that enhance colleague and customer experiences
Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language - Processing, Best Next Action, and Time Series predictions
Location: Phoenix, AZ, Hybrid
Duration: 12+ Months with possibility of extension
Job Description:
The Enterprise Web Intelligence Team is responsible for customer journeys and search engine optimization as there has been several website data governance regulations put into place globally that this team will need to create new code for. Right now, they are still in discovery phase for the platforms that they will be building. They are looking for a talented Client Engineers that can help capture 13,000 pages of data that needs to be captured in the cloud.
Enterprise Req Skills
Data science, Machine Learning, Predictive Modelling, Algorithm, Data Analysis, Artificial Intelligence, Api, Python, SQL
Top Skills Details
1) 4+ years of Machine Learning Experience
2) Knowledge of Client frameworks like TensorFlow, scikitlearn, PyTorch , Keras etc.
3) Data structures, data modelling and feature extraction
Additional Skills & Qualifications
More than 70%+ of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Machine Learning in Client
Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide
Not only crafting Client model prototypes, but also putting them into production in scale
Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow
Work with a dynamic team and play a visible role in implementing groundbreaking technology and machine learning solutions with other industry-leading partners
Works with large, complex data sets to build products and tools that enhance colleague and customer experiences
Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language - Processing, Best Next Action, and Time Series predictions
Source : EA Team Inc.