Nokia

Domain Architect – Data Science

Nokia

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $128,982 - $239,539 per year

Job Level

SeniorLead

Tech Stack

AirflowCloudGrafanaKafkaKubernetesOpenShiftPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • 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.
  • Ensure all solutions are aligned with industry standards including 3GPP, TM Forum, and CSP frameworks.
  • Support pre-sales activities, including RFP responses, proof-of-concepts (PoCs), and customer demonstrations.
  • Contribute to reusable assets and delivery accelerators, enhancing the scalability and efficiency of AI/ML use case implementations.
  • Provide strategic direction for identifying new business opportunities and evaluating emerging technology solutions.
  • Act as a senior subject matter expert in data science and machine learning for Autonomous Networks, guiding delivery teams and influencing solution strategy.

Requirements

  • 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.
  • 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.
  • (Nice to have) Ab-intio data management platform
  • (Nice to have) Familiarity with network automation, service assurance, and intent-based networking.
  • (Nice to have) Exposure to standards: 3GPP, TM Forum
  • (Nice to have) Pre-sales experience: RFPs, solution demos, customer workshops.
  • (Nice to have) Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
  • (Nice to have) Experience with Snowflake, Databricks, Kafka, Flink, Airflow.
  • (Nice to have) Visualization: Tableau, Power BI, Grafana.