AI Expert

AI Expert

Italy

(Hybrid)

Are you passionate about the intersection of Artificial Intelligence, Machine Learning, and robust software development practices? Do you have a foundational understanding of DevOps principles and a keen interest in applying them to AI solutions? We are looking for an Associate DevOps Engineer to join our team and contribute to developing, deploying, and maintaining AI-powered tools that streamline and enhance the daily workflows of our R&D engineers across hardware, software, architecture, and test functions.

In this role, you will work closely with experienced engineers, learning to bridge the gap between AI development and operational excellence. You will help ensure our R&D teams can leverage AI tools safely, effectively, and efficiently, gaining valuable hands-on experience in a supportive environment.

Your responsibilities

• Support AI Solution Development & Integration:
• Assist in the development and integration of AI-driven tools and platforms (e.g., internal LLM chatbots, specialized applications) into existing R&D workflows and systems.
• Collaborate with AI experts and R&D engineers to understand their needs and contribute to building effective AI solutions.
• Learn about and contribute to use cases such as initial code drafting, test scaffolding, refactoring, documentation generation, test plan generation, script generation, log analysis, debugging, and design option exploration.

Contribute to DevOps Pipelines for AI:

• Support the building, maintenance, and optimization of CI/CD pipelines for AI models and applications, focusing on automated testing, deployment, and continuous integration.
• Gain hands-on experience with tools like GitLab, Artifactory, Argo CD, and SonarQube for efficient and secure software delivery.
• Learn and apply DevSecOps practices to embed security throughout the AI solution lifecycle.

Assist with Infrastructure & Cloud Management:

• Help manage and provision cloud infrastructure (e.g., Azure, NESC, AWS) using Infrastructure as Code (IaC) principles with tools like Terraform and Kubernetes.
• Support the configuration and access for approved AI tools and environments, adhering to corporate policies and security baselines.
• Assist in the deployment and lifecycle management of containerized AI applications.

Monitor, Log & Optimize Performance:

• Contribute to implementing monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack) for AI tools and their underlying infrastructure.
• Learn to identify and help resolve performance bottlenecks, ensuring the reliability of AI services.
• Participate in the continuous improvement of AI-assisted R&D processes by analyzing metrics and feedback.

Develop AI/ML Understanding & Application:

• Apply academic knowledge or project experience in machine learning fundamentals, algorithms (e.g., Linear Regression, Neural Networks, Deep Learning), and data science techniques.
• Develop skills in prompt engineering to maximize the effectiveness of large language models for R&D tasks.
• Understand basic data preprocessing, feature selection, model evaluation, and deployment strategies in cloud and local environments.

Collaborate & Communicate:

• Work effectively within R&D teams, learning from architects, product owners, and the PSE AI Council to align AI initiatives with business objectives and technical standards.
• Provide support to R&D engineers on the effective and safe use of AI tools.
• Learn about and report suspected policy violations or data leakage related to AI usage through established channels.

Your skills and experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field (or graduating soon).
• Academic projects, internships, or demonstrable personal projects showcasing an understanding of DevOps principles and practices.
• Foundational knowledge of AI/ML concepts, including basic model development or application.
• Familiarity with at least one scripting language (e.g., Python, Bash) and an eagerness to learn relevant AI/ML libraries.
• Basic understanding of cloud platforms (e.g., Azure, AWS, OpenStack) and containerization (e.g., Docker, Kubernetes).
• Awareness of IaC concepts (e.g., Terraform, Ansible).
• Basic understanding of monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
• Interest in secure coding practices and DevSecOps principles.
• Strong problem-solving aptitude, analytical skills, and clear communication.
• Eagerness to learn and adapt in an agile, fast-paced R&D environment.

More information

Some of our benefits:

• Flexible and hybrid working schemes
• A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
• Life insurance to all employees to provide peace of mind and financial security
• Well-being programs to support your mental and physical health
• Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
• Employee Growth Solutions to support your personalized career & skills development
• Diverse pool of Coaches & Mentors to whom you have easy access
• A learning environment which promotes personal growth and professional development - for your role and beyond

Learn about additional benefits in specific countries.

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

At Nokia, we want every candidate to be able to perform their best. If you need any adjustments or support during the recruitment process, please let us know. All requests are treated confidentially.

Job Info

Job Category Applied R&D

Posting Date 10/21/2026

Degree Level Master’s degree

Job Schedule Full time

Job Type Graduate/Entry Level

Job Identification 37846

Will NSA/CAPS approval be required? (E.g., accessing a US Customer Network?) No

Role Type Individual contributor

Laptop - support with ordering needed No

Salary Range Salary range for Italy: 34.490 EUR - 64,054 EUR *Incentive range: 10% *National Collective Bargaining Agreement for the Telecommunications Sector” (CCNL Telecomunicazioni).

Experience level Graduate or Entry Level

Locations

Via Energy Park, 14, 32, 34, Vimercate, 20871, IT

(Hybrid)

Regular or Temporary Regular

Copyleft map data and location information included.