
Machine Learning - Data Analytics Scientist
Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization. Evaluate and Implement the ML/Deep learning models from research papers, Oracle domain experts, and other public resources. You have been exploring or working on some of the latest advancements in the deep learning. Lead and coordinate data acquisition strategy and best modeling practices across teams, organizations, and products. Develop production code for feature processing, model prediction, serving, and monitoring in both real-time and batch scenarios. Participate in the entire software lifecycle β development, testing, CI and production operations Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events. Provide machine learning methodology leadership.
4+ years of experience contributing to the architecture and design of new and current systems.
Experience with version control/Code-Review tools like GitHub etc.
Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problem
Good grasp of cloud development concepts like micro-services, cloud hosts, distributed storage
Python
HBase
Hadoop
Docker
Tensorflow
Kubernetes
Spark
Pytorch
Time Management Skills
Verbal communication
Driven and self-motivated
Prioritizing skills
written communication
Adaptability
mulit-tasking
According to JobzMall, the average salary range for a Machine Learning - Data Analytics Scientist in 2300 Oracle Way, Austin, TX 78741, USA is $87,000 to $124,000. This range includes salaries for entry-level positions, mid-level positions, and senior-level positions.
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Micros Systems, Inc.; now owned by Oracle Corporation and renamed Oracle Food and Beverage and Oracle Hospitality, was headquartered in Columbia, Maryland, United States.

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