· Develop and optimize custom ML Pytorch datasets, dataloaders and transformations
· Develop ML Pytorch transformations
· Experience with ML dataloaders for different data types (Audio, Video, Images)
· Experience with ML frameworks like Pytorch
· Experience with different neural networks
· Develop computational graphs and configure runtime elements
· Optimizing and supporting GPU compute acceleration and overall infrastructure
· Automate code releases
· Storage architecture experience with NAS, RAID, Apache HDSF & SPARK
· Experience with SQL, NoSql and elasticsearch databases… DynamoDB, MongoDB, Snowflake
· Familiar with SQL and NoSQL scripting
· Web experience UI … not a web developer, but understanding of HTML and other web components
· Experience supporting Kubernetes and Docker containers
· Python scripting and familiarity with the Pytorch framework and/or TensorFlow
· Configure and monitor GPU and general ML process and data flow jobs
· Experience configuring and supporting AWS cloud infrastructure like Lamda functions, Kinesis and/or AZURE Functions
· Experience using Atlassian tools like Jira and Confluence, plus Bitbucket and Git for version control
· Code as infrastructure automation and management
· Familiar with development methodologies such as Agile/Kanban
· Working understanding of network LAN/WAN topologies
Working knowledge of normalized de-normalized data
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