Job Description:
This job description is for a Senior AI Engineer where we expect relevant industry experience. Client will end up engaging either one Sr. AI Engineer or two Jr. AI Engineers.
Define architecture and selecting appropriate runtime components to host AI/ML models
Support models built in Python and R
Build API interface for AI/ML models
Performance test and tune the AI/ML models and any runtime components
Support Data Science team with any data movements, data transformation and analysis etc.
Engineer and operationalize the AI/ML API environments
Deploy new hardware
Implement environments in our global data centers
Operationalize data center failover processes for inference engines
Integrate with corporate security systems, SOC, NOC etc. for monitoring and alerting
Define deployment best practices and automate promotion of code/models (DevOps processes)
Manage, maintain, refresh and upgrade environmental components (including patching etc.)
Capacity management and planning of the environment
Optimize the design practices for building AI/ML models
Description: Minimum Requirements:
Skills Required
Must have experience programming with Python
Must understand the package management for various environments (Python, R and Hadoop environments)
Nice to have experience with Notebooks for data analytics
Nice to have experience programming in R language
Experience with deployment and management of Windows and Unix VMs
Nice to have experience deploying and managing containers
Some experience understanding the AI/ML approaches
Must have experience scripting with shell script and/or PowerShell
Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive and Spark
Nice to have experience implementing and managing Kafka
Nice to have Site Reliability Engineering experience (1+ years)
Nice to have experience with GPU based compute for AI/ML learning and inference engine
Qualifications
6-8 years of IT experience (or 4 years of IT experience with Masters degree)
At least 2-3 years of data science or engineering experience
At least 2 years of operations and management experience with data and/or online transactional platforms
Team player and the ability to work in a collaborative environment
Must be highly resourceful and creative in fulfilling the job requirements
Must be a great communicator
Must be able to work independently with limited management
by via developer jobs - Stack Overflow
This job description is for a Senior AI Engineer where we expect relevant industry experience. Client will end up engaging either one Sr. AI Engineer or two Jr. AI Engineers.
Define architecture and selecting appropriate runtime components to host AI/ML models
Support models built in Python and R
Build API interface for AI/ML models
Performance test and tune the AI/ML models and any runtime components
Support Data Science team with any data movements, data transformation and analysis etc.
Engineer and operationalize the AI/ML API environments
Deploy new hardware
Implement environments in our global data centers
Operationalize data center failover processes for inference engines
Integrate with corporate security systems, SOC, NOC etc. for monitoring and alerting
Define deployment best practices and automate promotion of code/models (DevOps processes)
Manage, maintain, refresh and upgrade environmental components (including patching etc.)
Capacity management and planning of the environment
Optimize the design practices for building AI/ML models
Description: Minimum Requirements:
Skills Required
Must have experience programming with Python
Must understand the package management for various environments (Python, R and Hadoop environments)
Nice to have experience with Notebooks for data analytics
Nice to have experience programming in R language
Experience with deployment and management of Windows and Unix VMs
Nice to have experience deploying and managing containers
Some experience understanding the AI/ML approaches
Must have experience scripting with shell script and/or PowerShell
Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive and Spark
Nice to have experience implementing and managing Kafka
Nice to have Site Reliability Engineering experience (1+ years)
Nice to have experience with GPU based compute for AI/ML learning and inference engine
Qualifications
6-8 years of IT experience (or 4 years of IT experience with Masters degree)
At least 2-3 years of data science or engineering experience
At least 2 years of operations and management experience with data and/or online transactional platforms
Team player and the ability to work in a collaborative environment
Must be highly resourceful and creative in fulfilling the job requirements
Must be a great communicator
Must be able to work independently with limited management
by via developer jobs - Stack Overflow
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