Remote AI Operations Engineer

Summary

Join Talentus as an AI Operations Engineer and play a crucial role in supporting implementations and managing IT infrastructure environments to ensure smooth operations.

Requirements

• Background in Data Science or a related field
• Familiarity with AI/ML concepts and automation, particularly within ServiceNow
• Experience working in IT operations or on an IT operations team
• Strong knowledge of observability and event management best practices
• Familiarity with multi-cloud platforms and ITIL processes, especially in event and incident management
• Experience with monitoring tools such as SL1 and ServiceNow ITOM
• Excellent problem-solving skills and the ability to work in a dynamic environment
• Strong communication skills for collaboration with technical and non-technical stakeholders

Responsibilities

• Support the implementation and management of AI/ML solutions within the IT infrastructure
• Ensure operational efficiency across different environments by monitoring performance and troubleshooting issues
• Assist in defining and managing the enterprise monitoring strategy for observability and event management
• Develop a comprehensive monitoring approach covering metrics, logs, traces, alerts, dashboards, and reports
• Leverage AI and machine learning techniques for predictive analytics, incident forecasting, and automating the detection, diagnosis, and resolution of incidents
• Collaborate with IT teams to optimize monitoring processes and tools, ensuring alignment with business requirements
• Work closely with end users, production support teams, and stakeholders to gather requirements and deliver effective monitoring solutions
• Provide guidance and support to users on maximizing the benefits of monitoring capabilities
• Evaluate and select appropriate monitoring tools and platforms, integrating them with existing IT systems and processes
• Assist in managing the roadmap for monitoring and automation tools, proposing innovative solutions in line with technology strategy
• Establish and maintain service level agreements (SLAs) and key performance indicators (KPIs) to monitor and report on system performance and quality
• Collaborate with IT teams to ensure best practices are followed across the enterprise

Benefits

• Full-time remote role
• Competitive hourly rate paid in $USD
• Opportunities for career growth and professional development
• Chance to collaborate with a global team across diverse industries and countries
• Continuous Learning and Improvement with access to Udemy courses