Operationalizing AI and Automation across Ericsson's North America business to drive solutions that create measurable impact in how networks are operated and optimized, improving efficiency, reducing cost, and enhancing customer satisfaction across the telecom domain.
Requirements
- Solid understanding of AI, Machine Learning, Data Science, and Predictive Analytics concepts.
- Hands-on experience with Python, including libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow.
- Familiarity with Telecom domain concepts or interest in understanding the role of AI in network operations.
- Exposure to Agile methodologies, planning, and organizing complex projects.
Responsibilities
- Design and implement scalable, maintainable, high-performance automation solutions aligned with enterprise standards.
- Develop Python-based automation scripts, APIs, and machine learning models to solve operational challenges.
- Support data science and predictive modeling initiatives.
- Apply critical thinking and decision-making to analyze data patterns, trends, and predictive outcomes.
- Contribute to AI/ML model development, validation, and deployment pipelines.
- Document architecture, code, and solution workflows to support long-term maintainability.
- Present your findings and results clearly to both technical and non-technical stakeholders.
Other
- Actively enrolled in an accredited undergraduate or master’s, on a full-time basis at a four-year college or university at the time of the co-op/internship.
- 2.7+ GPA or equivalent, please upload an unofficial copy of your transcript.
- Be available to work 40 hours per week.
- Applicable Majors/Degrees include Computer Science, Engineering, Mathematics, or a related field.
- Strong critical thinking, decision-making, and communication skills.
