AI Operations Production Specialist, 2

Job Summary

The AI Operations Production Support Specialist, 2 is responsible for ensuring the stability, performance, and availability of production systems through the application of Artificial Intelligence for IT Operations (AIOps) tools and methodologies. This role involves managing and optimizing AIOps platforms to proactively detect, diagnose, and resolve operational issues before they impact the business. The Support Specialist automates monitoring and support tasks, drives continuous improvements, and works closely with cross-functional teams to maintain efficient production operations. The position requires a strong background in IT operations, incident management, automation, and a deep understanding of AIOps technologies to enhance overall system reliability and efficiency.

Essential Job Functions

• Provide L1, L2, and L3 support for AIOps products. Monitor and support operations, addressing client queries and ensuring smooth functionality, execution and troubleshooting. Analyze and interpret data effectively. Develop and maintain Python scripts. Independently understand and address client requirements and queries. Perform detailed data analysis to support decision-making processes.
• Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks and issues.
• Keep up to date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends.

Minimum Qualifications

• Bachelor s Degree in Computer Science, Engineering, or related field of study.
• 2+ years experience as a Production Support Analyst in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields, with a focus in retail financial services or information technology fields utilizing agile methodologies.

Preferred Qualifications

• 5+ years of experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields.

Skills

• DevOps
• ServiceNow Platform
• Azure Devops
• GitHub
• Machine Learning
• Data Analysis
• Microsoft Excel
• JIRA Tool
• Artificial Intelligence (AI)

Reports To Manager and above

Direct Reports 0

Work Environment

• Normal office environment (Hybrid), 6 to 8 days per month are required in the office.

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Job Family

Data and Analytics

Job Type

Regular

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.