Automation Engineer Co-op/Intern
About the Role
Join Nokia as an Operations Analytics Co-op/Intern and gain hands-on experience supporting business operations, process optimization, and data-driven decision-making in a high-tech environment. You will work with Power BI, Excel, AI-based solutions, and cross-functional teams to deliver insights that drive operational efficiency and business performance.
Key Skills for This Role
Full Job Posting
Responsibilities
- As part of our team, you will:
- Design, implement, and evaluate modular agentic workflows, custom agent skills, and tool-calling interfaces to automate complex multi-step tasks.
- Prepare evaluation datasets and create scripts to benchmark agentic accuracy, tool-use reliability, and output consistency.
- Test NTA scripts with autonomous agents and collaborate with engineers across networking domains (IP, Optical, and Fixed Networks).
- Contribute to reference HLD/LLDs and maintain documentation, how-to guides, and wiki updates in partnership with domain experts.
- As part of our team, you will: - Design, implement, and evaluate modular agentic workflows, custom agent skills, and tool-calling interfaces to automate complex multi-step tasks. - Prepare evaluation datasets and create scripts to benchmark agentic accuracy, tool-use reliability, and output consistency. - Test NTA scripts with autonomous agents and collaborate with engineers across networking domains (IP, Optical, and Fixed Networks). - Contribute to reference HLD/LLDs and maintain documentation, how-to guides, and wiki updates in partnership with domain experts.
Qualifications
- You Must Have:
- Knowledge of Artificial Intelligence and Machine Learning concepts gained through coursework, projects, or practical experience.
- Comfortable working with Linux operating systems
- Experience with Java and familiar with programming concepts
- Scripting ( Bash, Perl, Python )
- DevOps Foundations: Core understanding of modern DevOps principles. Familiarity with infrastructure basics, cloud concepts ( AWS, Azure, or GCP ), containerization (Docker), and automation workflows ( CI/CD pipelines like GitHub Actions or GitLab CI ).
- Collaboration & Git: Strong familiarity with version control systems (Git) and collaborative agile development (pull requests, branching, code reviews).
- AI Ecosystem Familiarity: Exposure to or strong interest in the modern AI landscape. This includes basic knowledge of Large Language Models (LLMs), integrating AI APIs (e.g., OpenAI, Anthropic, Hugging Face), vector databases, or prompt engineering.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets.
- Ability to work independently while collaborating effectively within a team environment.
- Strong attention to detail, organizational skills, and a commitment to data accuracy.
- Excellent communication skills with the ability to present findings clearly to technical and non-technical audiences.
- It Would Be Nice If You Also Had:
- Experience with SQL, or similar data analysis and automation tools.
- Familiarity with operational processes and workflows in a technology-driven environment.
- Prior internship, co-op, academic project, or consulting experience related to software development.
- Experience with Power Automate or other workflow automation tools.
- Exposure to forecasting, demand planning, or business performance reporting.
- You Must Have: - Knowledge of Artificial Intelligence and Machine Learning concepts gained through coursework, projects, or practical experience. - Comfortable working with Linux operating systems - Experience with Java and familiar with programming concepts - Scripting ( Bash, Perl, Python ) - DevOps Foundations: Core understanding of modern DevOps principles. Familiarity with infrastructure basics, cloud concepts ( AWS, Azure, or GCP ), containerization (Docker), and automation workflows ( CI/CD pipelines like GitHub Actions or GitLab CI ). - Collaboration & Git: Strong familiarity with version control systems (Git) and collaborative agile development (pull requests, branching, code reviews). - AI Ecosystem Familiarity: Exposure to or strong interest in the modern AI landscape. This includes basic knowledge of Large Language Models (LLMs), integrating AI APIs (e.g., OpenAI, Anthropic, Hugging Face), vector databases, or prompt engineering. - Strong analytical and problem-solving skills with the ability to interpret complex datasets. - Ability to work independently while collaborating effectively within a team environment. - Strong attention to detail, organizational skills, and a commitment to data accuracy. Excellent communication skills with the ability to present findings clearly to technical and non-technical audiences. It Would Be Nice If You Also Had: - Experience with SQL, or similar data analysis and automation tools. - Familiarity with operational processes and workflows in a technology-driven environment. - Prior internship, co-op, academic project, or consulting experience related to software development. - Experience with Power Automate or other workflow automation tools. - Exposure to forecasting, demand planning, or business performance reporting.
About Nokia
Nokia is a Finnish multinational technology company specializing in telecommunications infrastructure, software, and licensing. It provides network equipment and services for mobile, fixed, and cloud networks to communications service providers and enterprises worldwide.
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