Nokia
Overview
We are seeking a highly experienced Domain Architect-Data Scientist with deep expertise in telecom services, AI/ML, and data management to drive the delivery of data products, intelligent cognitive use cases, and Autonomous Network solutions for Communication Service Providers (CSPs). The role requires strong technical skills, telco domain knowledge, and the ability to engage with both executive and technical stakeholders in a services environment. 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. 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. Key Skills And Experience
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 Familiarity with network automation, service assurance, and intent-based networking. Exposure to standards: 3GPP, TM Forum Pre-sales experience: RFPs, solution demos, customer workshops. Knowledge of Data Mesh, Data Fabric, and MLOps frameworks. Experience with Snowflake, Databricks, Kafka, Flink, Airflow. Visualization: Tableau, Power BI, Grafana. About Us
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work. What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Inclusion
Nokia is committed to inclusion and is an equal opportunity employer. Nokia has received recognitions for inclusion and equality: One of the World’s Most Ethical Companies by Ethisphere; Gender-Equality Index by Bloomberg; Workplace Pride Global Benchmark. We act inclusively and respect the uniqueness of people; 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. Additional Information
US/Canada Nokia offers a comprehensive benefits package and a broad salary range. All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified. About The Team: Nokia’s growth engine, etc. As 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.
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We are seeking a highly experienced Domain Architect-Data Scientist with deep expertise in telecom services, AI/ML, and data management to drive the delivery of data products, intelligent cognitive use cases, and Autonomous Network solutions for Communication Service Providers (CSPs). The role requires strong technical skills, telco domain knowledge, and the ability to engage with both executive and technical stakeholders in a services environment. 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. 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. Key Skills And Experience
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 Familiarity with network automation, service assurance, and intent-based networking. Exposure to standards: 3GPP, TM Forum Pre-sales experience: RFPs, solution demos, customer workshops. Knowledge of Data Mesh, Data Fabric, and MLOps frameworks. Experience with Snowflake, Databricks, Kafka, Flink, Airflow. Visualization: Tableau, Power BI, Grafana. About Us
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work. What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Inclusion
Nokia is committed to inclusion and is an equal opportunity employer. Nokia has received recognitions for inclusion and equality: One of the World’s Most Ethical Companies by Ethisphere; Gender-Equality Index by Bloomberg; Workplace Pride Global Benchmark. We act inclusively and respect the uniqueness of people; 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. Additional Information
US/Canada Nokia offers a comprehensive benefits package and a broad salary range. All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified. About The Team: Nokia’s growth engine, etc. As 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.
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