This role is part of the Automation Excellence Center (AEC) and is responsible for engineering, deploying, and operating AI/ML and GenAI capabilities that underpin agentic and closed-loop automation in telecom environments. The AI/ML Data Scientist will work hands-on across the full lifecycle—feature engineering from telecom datasets (KPIs, alarms, logs, events), model training and fine-tuning, containerized deployment, and post-deployment optimization. A key focus is embedding AI models and LLM-based components into automation frameworks, orchestration engines, and policy systems to enable event-driven decisioning and autonomous actions. The role also owns MLOps pipelines for model versioning, monitoring, drift detection, and continuous retraining, ensuring automation intelligence remains scalable, reliable, and production-grade as the organization advances toward Agentic Ops and higher Autonomous Network maturity.
Responsibilities
- Design, build, and fine-tune AI/ML and GenAI models that act as intelligent agents within automation workflows.
- Develop agentic AI components (decision agents, RCA agents, recommendation agents, remediation agents) that operate with minimal human intervention.
- Implement context-aware GenAI capabilities (LLMs, RAG, reasoning pipelines) to enhance automation intelligence and adaptability.
- Embed AI/ML models into closed-loop automation pipelines—from signal ingestion and insight generation to action execution.
- Integrate AI components with automation frameworks, orchestration engines, policy systems, and workflow platforms.
- Enable event-driven and intent-based automation aligned to Autonomous Network maturity (L3/L4).
- Build and operate MLOps pipelines to support model deployment, monitoring, retraining, and lifecycle governance.
- Standardize AI assets (models, prompts, agents, pipelines) for reuse and scale across multiple use cases and customers.
- Continuously tune automation models for accuracy, reliability, latency, and business impact.
- Drive AI-powered automation use cases such as anomaly detection, root cause analysis, predictive assurance, intelligent provisioning, and service experience automation.
- Work closely with network, OSS/BSS, and automation architects to ensure solutions reflect real-world telecom constraints and SLAs.
- Support multi-vendor and multi-domain automation scenarios.
- Strong hands-on expertise in Python and AI/ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Practical experience implementing GenAI and LLM-based systems (RAG pipelines, embeddings, vector databases, prompt engineering).
- Experience deploying AI components into automation platforms using Docker, Kubernetes, and cloud-native environments.
- Solid understanding of MLOps for automated systems (CI/CD for models, drift detection, observability).
- Strong understanding of telecom network operations (Core, RAN, Transport, OSS/BSS).
- Experience working with automation frameworks, orchestration engines, and workflow systems.
- Familiarity with telecom operational data (KPIs, alarms, logs, events) used in closed-loop automation.
- Experience designing agent hierarchies and multi-agent systems.
- Exposure to Autonomous Networks maturity models and intent-driven operations.
- Knowledge of observability platforms enabling intelligent automation.
- Experience in Automation CoE / Platform teams.
- 7 year+ experience
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About UsNokia 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 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.
- Flexible working arrangements and additional flex benefits to support work–life balance
- 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)
- Medical and life insurance plan, plus paid sick leave for added security
- Meal allowance to support daily needs
- Car allowance based on eligibility
- Well-being programs to support your mental and physical health
- Opportunities to engage with Nokia Employee Resource Groups (NERGs), as well as access to mentors, coaches, and Employee Growth Solutions
- A learning culture that promotes continuous personal and professional growth – for your role and beyond
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What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
