AI Developer

Requirements:

  • Optimize the design practices for building AI/ML models
  • Performance test and tune the AI/ML models and any runtime components
  • Implement environments in our global data centers
  • Operationalize data center failover processes for inference enginesIntegrate with corporate security systems, SOC, NOC, etc. for monitoring and alerting
  • Define deployment best practices and automate the promotion of code/models (DevOps processes)
  • Manage, maintain, refresh and upgrade environmental components (including patching, etc.)Engineer and operationalize the AI/ML API environments
  • Support models built-in Python and R
  • Define architecture and selecting appropriate runtime components to host AI/ML models
  • Support the Data Science team with any data movements, data transformation, and analysis, etc
  • Capacity management and planning of the environment
  • Build API interface for AI/ML modelsSkills Required:
  • Nice to have experience with GPU-based compute for AI/ML learning and inference engine.
  • Nice to have experience programming in the R language
  • Experience with deployment and management of Windows and Unix VMs
  • Some experience understanding the AI/ML approaches
  • Must understand the package management for various environments (Python, R, and Hadoop environments)
  • Must have experience with administration of Hadoop ecosystem – specifically HDFS, Hive, and SparkNice to have – Site Reliability Engineering experience (1+ years)Nice to have – Site Reliability Engineering experience (1+ years)
  • Nice to have – experience deploying and managing containers
  • Must have experience scripting with a shell script and/or PowerShell
  • Must have experience programming with Python
  • Nice to have experience implementing and managing Kafka
  • Nice to have experience with Notebooks for data analytics

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