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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