Jr. Software Dev. Data Science
Listed on 2026-02-28
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Job Description
OverviewAs Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors pushes the limits from impossible to possible.
You will be part of the P&E (Product & Engineering) Team within the Cloud and Network Services (CNS) Division. This team works on several products with the 3
GPP Packet Core and on other automation enablement technologies.
Come invent the future with us in 5G/6G by creating cutting‑edge gen‑AI models and be part of a diverse, multi-site world‑class R&D Team.
How You Will Contribute and What You Will LearnWork on technologies related to:
- Container Technologies (Kubernetes) platforms
- Artificial Intelligence, Machine Learning pipelines, and Gen‑AI
Code and work on projects related to the following areas:
- Data analytics/Machine Learning, including Exploratory Data Analysis
- Coding in C++/C and Python used in the implementation of models for data pipelines (training, serving, testing)
Work with technologies such as:
- MLflow, Pandas, Jupyter Notebooks, and other related technologies to perform Exploratory Data Analysis (EDA) and implement machine learning models.
- 3
GPP, which includes implementing use cases in AI/Machine Learning for the Packet Core components including Cloud Mobility Manager for 4G MME (Mobility Management Entity) and 5G AMF (Access Mobility Function), Cloud Mobility Gateway for 4G SGW/PGW and 5G (SMF, UPF)
Follow all Nokia Information Security policies and guidelines including ISMS (ISO
27001 program).
Must‑Have:
- A Master’s degree in Computer Science, Computer Engineering, or Data Science, with an emphasis on Data Science.
- Python proficiency, C++/C language knowledge.
- Some experience in data classification models, time series, and large language models, including familiarity with 3
GPP and 4G/5G specifications. - Experience with designing and implementing AI pipelines including Lang Chain, and MCP (Model Context Protocol) for Large Language Model Deployment including embeddings and RAG (Retrieval Augmentation Generation) based modeling.
Nice‑to‑Have:
- Previous Nokia intern or co‑op experience.
- Networking IP Knowledge (IPv6/IPv4), familiarity with Linux, Git, MLFlow, Air Flow, and Scikit‑Learn.
- Experience with Gen‑AI tools (e.g., Copilot) to aid in the job role (test script development, code development) in an Agile and Dev Ops environment.
- Characteristics of a self‑starter: self‑motivated, able to work independently on complex problems, and eager to learn state‑of‑the‑art technologies and evolving cloud infrastructures.
- Excellent technical skills, demonstrated by working efficiently and being responsible for completing own code quality and/or testing activities given the provided requirements.
- Ability to understand the customer’s use case and create data‑driven models that help the customer manage their network autonomously, with strong communication skills and the ability to explain technical information/risks and provide status updates on assigned tasks.
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.
Our Recruitment ProcessWe 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.
BenefitsSome of our benefits in US:
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short‑t…
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