Location ANTIOCH, TN (CHS Corporate)
Department Cloud Cntr Of Excellence
Field Information Systems
Community Health Systems is a leading operator of general acute care hospitals and outpatient care centers in communities across the United States. CHS affiliates own, lease or operate 83 affiliated hospitals in 16 states with an aggregate of approximately 13,000 licensed beds. Healthcare services are also provided in more than 1,000 outpatient sites of care including affiliated physician practices, urgent care centers, freestanding emergency departments, imaging centers, cancer centers, and ambulatory surgery centers.
Responsible for applying the latest in advanced analytics and ML technology to help CHS and the facilities we serve realize the potential of big data and automation in the cloud. Builds ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.
Essential Duties and Responsibilities
Provides machine-learning capabilities to monitor spikes and drops in usage, as well as lead discussions for architectural reviews for demand and capacity planning and management.
Works closely with Data scientists to train data models for integration with the powerful GCP data and analytics engine.
Participates in model design, optimization, testing, quality assurance, and defect resolution.
Leverages general use APIs to include but not limited to Vision, Video Intelligence and Natural Language.
Uses AutoML for custom needs like custom labels.
Delivers and orchestrates machine learning infrastructure within testing and production environments.
Collaborates with Engineers and Scientists to architect and implement a shared vision.
Bachelor's degree in Computer Science, or related technical field.
Master’s degree in Computer Science, or related technical field.
Minimum 5 years of hands on experience with Cloud using Google Cloud Platform (GCP), Microsoft Azure or Amazon Web Services (AWS)
Hands on experience training and retraining data models to improve performance, using accelerators such as TPUs and GPUs
Should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation, as well as familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the GCP ML Engineer will design and create scalable solutions for optimal performance in the cloud.
Experience performing distributed training and serving and a wide range of available tools (such as What-If tool)
Hands on experience with TensorFlow and BigQuery ML
Understanding of machine learning and advanced analytics and the application thereof in cloud-native environments.
Self-starter with an in-depth hands-on work experience with multiple large-scale implementations of Google Cloud Platform
ience designing and implementing distributed software systems (e.g. Java, C++, or Python)
Strong understanding and experience with common security libraries, security controls, and common security flaws.
Knowledge of and experience designing and managing Cloud controls
Deep AI/ML implementation experience across
Python development experience training models
Google AI Platform, ML/AI certification or study (any)
GCP Professional ML Engineer Certification
Computer Skills Required:
Python, TensorFlow, Google AI Platform
In order to successfully perform this job, with or without a reasonable accommodation, the following are outlined below:
The Employee is required to read, review, prepare and analyze written data and figures, using a PC or similar, and should possess visual acuity.
The Employee may be required to occasionally climb, push, stand, walk, reach, grasp, kneel, stoop, and/or perform repetitive motions.
The Employee is not substantially exposed to adverse environmental conditions and; therefore, job functions are typically performed under conditions such as those found within general office or administrative work.