Cloud AI Engineer Intern

Ericsson is a telecommunications and technology company developing cloud-based solutions and automation tools. The Cloud AI Engineer Intern will develop Python automation scripts, leverage internal GenAI tools, and support non-functional and performance testing for cloud-based rApp projects.

What you'll do:

• Develop and implement automation scripts using Python to interact with cloud-based systems and tools in the Ericsson environment
• Leverage Ericsson’s internal GenAI tools (e.g., GenAI, Glean) to design and implement agent-based automation solutions
• Create and optimize cloud automation workflows for tasks such as: Triggering catalog comparisons across cloud environments, integrating with Git for version control. Verifying environmental variable consistency across multiple cloud environments to resolve discrepancies. Generating installation JSON configurations from PowerPoint-based topology diagrams using GenAI for intelligent parsing. Developing tools to create topology PowerPoint presentations from existing JSON files. Enhancing JSON generation tools for cloud configuration and deployment needs
• Document automation processes, scripts, and best practices for maintainability and knowledge transfer
• Participate in team meetings, contributing ideas to improve cloud automation strategies
• Analyze cloud application architecture and workflows to derive non-functional requirements
• Identify, document, and categorize non-functional test scenarios (e.g., performance, load, stress, scalability)
• Map non-functional requirements to measurable metrics (e.g., response time, throughput, error rate, CPU/memory utilization)
• Support scripting and automation of test scenarios using Robot Framework with Python for use in ESSVT
• Collaborate with senior testers to define test data needs, load patterns, and cloud environment configurations
• Assist in scripting and executing performance tests using tools like JMeter or LoadRunner
• Review test results and analyze system behavior under various load conditions in cloud environments

What they're looking for:

• •    Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Cloud Computing, or a related field
• O    Proficiency in Python scripting, including libraries for data manipulation, API interaction, and automation (e.g., Pandas, Scikit-learn, basic PyTorch/TensorFlow)
• O    Familiarity with JSON/YAML for cloud configuration and data exchange
• O    Solid understanding of AI/ML concepts (e.g., regression, classification, clustering) and the ML lifecycle
• O    Knowledge of Large Language Models (LLMs) and agentic AI frameworks (e.g., LangChain, Auto-GPT, Ollama + LLaMA2) is a plus
• O    Familiarity with automation tools like Ansible, Robot Framework, or RPA tools (e.g., UiPath, Automation Anywhere) is an advantage
• O    Basic understanding of non-functional/performance testing and tools (e.g., JMeter, LoadRunner) is a plus
• O    Familiarity with Git and DevOps/CI/CD pipelines is a plus
• O    Awareness of SD-WAN technologies is a plus
• O    Strong problem-solving skills and a proactive, curious mindset
• O    Ability to explain technical concepts to technical and non-technical stakeholders
• O    Collaborative team player with a willingness to learn and adapt