Job Location: Mumbai

• Education: Bachelors degree
• 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 models

Skills 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 Spark
• Nice 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
• Python
• R
• Hadoop
• Kafka
• HDFS
• MACHINE LEARNING

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