AIOps SRE

Company:  Sogeti
Location: Chicago
Closing Date: 08/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
What You’ll Do

  • Machine Learning in IT Operations: ML algorithms, data preprocessing and feature engineering.
  • AI/ML Tools: (i.e. TensorFlow, Keras, PyTorch) for development and deployment of efficient models.
  • Incident Management: rapidly identifying, diagnosing, and resolving IT issues using automated and AI-driven tools.
  • Data Analysis and Processing: working with large datasets and applying statistical techniques to understand patterns; manipulate and analyze data in creating predictive models.
  • Integrated Observability: consolidating and analyzing data across systems to provide a holistic view of IT health and performance.
  • Performance Optimization: leveraging AI insights to fine-tune IT systems for peak operational efficiency.
  • Building and Managing AIOps Platforms: designing, implementing, and maintaining platforms that leverage AI to automate and enhance IT operations.
  • Documentation: creating clear, concise, and comprehensive guides and records for AIOps processes and configurations.
  • Programming: programming languages such as Python, Java, and others for writing AI and ML algorithms, integrating AI tools, and customizing solutions.
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