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ML Specialist (Focused on Pytorch)


·      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


What skills are needed?

·      BS or MSc degree in a relevant field with at least 3 years relevant industry experience
·      Experience being an ML specialist supporting pytorch development
·      Detail orientation with strong analytical and troubleshooting skills
·      Self-motivated and focused
·      Comfortable collaborating with geographically dispersed teams
·      Excellent written and spoken communication skills
·      Conversant in machine learning fundamentals
·      Take pride in finding ways to do things better, faster and correct. A focus on automation


Duration:
6 months
Experience level:
middle
Cost:
1
Job description:
Number of Hires:
1

Applications (1)