Job Description

Responsibilities:

Monitorin g and Alerting: Setting up monitoring systems to collect data from various ITinfrastructure components such as servers, networks, databases, and applications. Analyzing the collected data and creating alerting mechanisms to notify the relevant teams about potential issues or anomalies.

Anomaly Detection: Developing and implementing algorithms and models to identify abnormal patterns or behaviors in IT systems. This involves using machine learning and statistical techniques to detect anomalies that could indicate performance degradation, security threats, or other operational issues.

Incident Management: Collaborating with IT teams to handle and resolve incidents effectively.

Artificial Intelligence for IT Operations professionals play a crucial role in incident response by analyzing data, providing insights, and automating incident management processes to minimize the impact and downtime caused by system failures.

Root Cause Analysis: Investigating the underlying causes of incidents or problems by analyzing data and identifying patterns or correlations. Using machine learning algorithms, Artificial Intelligence for IT Operations professionals can determine the root cause of an issue, enabling teams to address it and prevent similar incidents from occurring in the future.

Automation and Orchestration: Developing automation scripts and workflows to streamline repetitive and manual IT operations tasks. This includes automating deployment processes, configuration management, and remediation actions based on predefined rules or machine learning models.

Performance Optimization: Leveraging AI and ML techniques to optimize the performance of IT systems. Artificial Intelligence for IT Operations professionals analyze performance metrics, identify bottlenecks, and provide recommendations to improve system efficiency, scalability, and response times.

Data Analysis and Visualization: Extracting meaningful insights from large volumes of IT data, such as log files, performance metrics, and event streams. Artificial Intelligence for IT Operations professionals use data analysis and visualization tools to present actionable information to stakeholders, facilitating decision-making and driving operational improvements.

Continuous Improvement: Staying updated with the latest AI and ML technologies, industry trends, and best practices in IT operations. Artificial Intelligence for IT Operations professionals actively contribute to the development and enhancement of Artificial Intelligence for IT Operations platforms, algorithms, and methodologies to improve overall system performance and operational efficiency.

Collaboration and Communication: Working closely with cross-functional teams, including system administrators, network engineers, developers, and security experts. Effective communication skills are essential to collaborate, share insights, and coordinate efforts to resolve issues promptly and maintain smooth IT operations. Profile required:

Bac+5 in computer science, with over 2 years of experience in artificial intelligence and machine learning.

Languages: French, English.