Product Management Analyst - Pleasanton, United States - Tata Consultancy Services

Description

Responsibilities:

• Development – AI ML development
• 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