Communication - Strong and effective communication skills
Implement, enhance and integrate AI platform with ServiceNow, ITAM applications, GitHub and JIRA
Gather and analyze the requirements provided by client.
Collect, consolidate and analyze service metrics to facilitate decision making related to service improvements.
Conduct unit testing and install new modules, releases and version upgrades.
Discuss with Data Scientists and participate in AI Model governance process.
Actively manages the life cycle of the AI platform, AI Model operations.
Proactively develop and maintain technical knowledge in a specialized area, remaining up to date on current trends and bestpractices.
Create and maintain technical documentation regarding development processes, best practice guidelines and other related artifacts (e.g. templates, etc.)
Complete development, configuration and workflow administration to support business processes on the platform.
Requirements:
Must have knowledge of ModelOps and MLOPs
Experience working with ModelOp AI, Model Operations tool - ModelOp Center developed by ModelOP
Junior level experience on AI Model Operation and governance
Experience in Machine Learning applications and Machine Learning Operations
Understanding of Model Life Cycle, Data analytics and representation
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Knowledge with implementing multiple AI solution in different domains in a large enterprise
Python Programming experience using Jupyter
Junior level experience implementing in Azure AI tool, Integration with ServiceNow and other ITAM
Analysis Azure AI solutions, data analysis, process understanding, creating and mapping design documents
Worked with Ping Federate/LDAP authorization
Knowledge of Agile methodology, JIRA
Good in Tableau reporting, Data analytics and dashboards