This role is part of the Automation Excellence Center (AEC) and is responsible for engineering, deploying, and operating AI/ML and Gen AI 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.Your responsibilitiesDesign, build, and fine‐tuneAI/ML and Gen AI modelsthat act asintelligent agentswithin automation workflows.Developagentic AI components(decision agents, RCA agents, recommendation agents, remediation agents) that operate with minimal human intervention.Implementcontext‐aware Gen AI capabilities(LLMs, RAG, reasoning pipelines) to enhance automation intelligence and adaptability.Embed AI/ML models intoclosed‐loop automation pipelines —from signal ingestion and insight generation to action execution.Integrate AI components withautomation frameworks, orchestration engines, policy systems, and workflow platforms.Enable event‐driven and intent‐based automation aligned toAutonomous Network maturity (L3/L4).Build and operateMLOps pipelinesto support model deployment, monitoring, retraining, and lifecycle governance.Standardize AI assets (models, prompts, agents, pipelines) forreuse and scale across multiple use cases and ntinuously 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 reflectreal‐world telecom constraints and SLAs.Support multi‐vendor and multi‐domain automation scenarios.Your skills and experienceStrong hands‐on expertise inPythonand AI/ML frameworks (Py Torch, Tensor Flow, scikit‐learn).Practical experience implementingGen AI and LLM‐based systems(RAG pipelines, embeddings, vector databases, prompt engineering).Experience deploying AI components intoautomation platformsusing Docker, Kubernetes, and cloud‐native environments.Solid understanding ofMLOps for automated systems(CI/CD for models, drift detection, observability).Strong understanding oftelecom network operations(Core, RAN, Transport, OSS/BSS).Experience working withautomation frameworks, orchestration engines, and workflow systems.Familiarity with telecom operational data (KPIs, alarms, logs, events) used in closed‐loop automation.Experience designingagent hierarchiesand multi‐agent systems.Exposure toAutonomous Networks maturity modelsand intent‐driven operations.Knowledge of observability platforms enabling intelligent automation.Experience in Automation Co E / Platform teams.BenefitsFlexible 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 al 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.EEO StatementWe 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.