Principal ML Ops Engineer- 5G

As a Principal Engineer, you will serve as both a technical authority and strategic thought leader, responsible for architecting end-to-end MLOps frameworks that enable real-time, closed-loop automation, predictive maintenance, anomaly detection, network optimization, and intelligent orchestration of 4G/5G core components. You will bridge the gap between data science, software engineering, DevOps, and telecom domain expertise, creating the robust systems needed to transition from traditional reactive operations to AI-native, self-optimizing networks (SON).

You will collaborate closely with network architects, data scientists, DevOps teams, and cloud/edge infrastructure engineers to ensure ML models are not only accurate but also scalable, explainable, observable, and production-ready - capable of running on-premises, in the cloud, and at the mobile edge.

• Architect and implement resilient MLOps pipelines for the entire AI lifecycle, from data ingestion to model deployment and continuous monitoring in production, leveraging Kubernetes, Kubeflow, and cloud-native services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
• Design and manage end-to-end automated deployment strategies for AI-powered network functions, embracing GitOps principles and advanced IaC tools like Pulumi or Crossplane for deterministic and auditable infrastructure.
• Establish and refine comprehensive observability frameworks for AI models and integrated network systems, utilizing distributed tracing (e.g., Open Telemetry), real-time anomaly detection, and predictive analytics to ensure proactive performance management and explainability.
• Drive the adoption of advanced CI/CD techniques specifically tailored for AI model versioning, testing, and A/B experimentation within a highly regulated telecom environment, ensuring rapid iteration and reliable delivery.
• Drive the adoption of AI-native network principles, leveraging intent-based networking and self-optimizing network (SON) capabilities for autonomous network operations and enhanced subscriber experience.
• Possess expert-level understanding of 4G & 5G core network protocols (e.g., HTTP/2, SCTP, QUIC, gRPC for 5GC, Diameter for 4G) and their impact on data plane and control plane optimization through AI.

You have:

• Bachelor's or master's degree in computer science, Electrical Engineering, Telecommunications, or related field.
• 12+ years of experience in software engineering or DevOps, with 3+ years focused on MLOps.
• Strong expertise in machine learning platforms (e.g., MLflow, TFX, SageMaker, Vertex AI).
• Deep understanding of 5G architecture and protocols, including RAN, core, and MEC.
• Proficiency with containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform, Helm).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Solid programming skills in Python, with familiarity in Bash, Go, or Java.
• Familiarity with network telemetry, edge AI, and real-time ML workloads.

It would be good if you had:

• Knowledge of AI/ML use cases in telecom such as traffic forecasting, anomaly detection, beamforming optimization, etc.
• Contributions to open-source Machine Learning Operations tools or telecom frameworks.

Come create the technology that helps the world act together

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.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World's Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

• Corporate Retirement Savings Plan
• Health and dental benefits
• Short-term disability, and long-term disability
• Life insurance, and AD&D - Company paid 2x base pay
• Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
• Paid time off for holidays and Vacation
• Employee Stock Purchase Plan
• Tuition Assistance Plan
• Adoption assistance
• Employee Assistance Program/Work Life Resource Program