Nokia is seeking a Domain Architect-Data Scientist to drive the delivery of data products, intelligent cognitive use cases, and Autonomous Network solutions for Communication Service Providers (CSPs), leveraging expertise in telecom services, AI/ML, and data management.
Requirements
- Strong knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
- Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, Scikit-learn.
- Hands-on experience with Vertex AI, Red Hat OpenShift AI, Kubeflow, and Kubernetes.
- Awareness of Generative AI, LLM-Ops, and Agentic AI applications in telecom.
- MLOps: MLflow, Kubeflow Pipelines, ArgoCD, GitOps.
- Ab-intio data management platform (nice to have).
- Familiarity with network automation, service assurance, and intent-based networking (nice to have).
Responsibilities
- Design, develop, and deliver AI/ML use cases tailored for Autonomous Networks (AN), driving innovation in telecom automation.
- Build and manage cognitive data products and frameworks that support large-scale AI/ML deployments across telecom environments.
- Research and apply advanced machine learning techniques to enhance existing systems and solve complex, novel challenges.
- Collaborate with CSP customers to translate business requirements into scalable, data-driven solutions.
- Implement end-to-end ML pipelines using platforms such as Vertex AI, Red Hat OpenShift AI, and Kubeflow.
- Manage the full data lifecycle—from ingestion and feature engineering to model training, deployment, and monitoring.
- Establish robust frameworks for model performance tracking, drift detection, and automated retraining.
Other
- Bachelor’s/Master’s in Computer Science, Statistics, Data Science, Mathematics, or related field.
- 15+ years total experience, including 10+ years in telecom domain and 5+ years in AI/ML & cloud technologies.
- Pre-sales experience: RFPs, solution demos, customer workshops (nice to have).
- Continuous learning opportunities, well-being programs to support you mentally and physically.
- Opportunities to join and get supported by employee resource groups, mentoring programs.
