Machine Learning Test Capability Eng. at Nokia in Remote

Summary: Nokia is a global leader in connectivity for the AI era, focused on advancing connectivity to secure a brighter world. As a Machine Learning Test Capability Engineer, you will design and deploy machine learning solutions to enhance manufacturing test platforms, collaborating with engineers to improve yield and accelerate fault isolation. Responsibilities: - Design and deploy machine learning and big data solutions that integrate directly with Nokia’s manufacturing test platforms for coherent pluggable products - Partner with test capability engineers to identify opportunities where predictive modeling, anomaly detection, and statistical inference can improve yield, reduce cycle time, and accelerate fault isolation - Build and maintain scalable data pipelines that aggregate and normalize test data across manufacturing sites and product families - Develop ML models for test outcome prediction, failure classification, and early warning of process drift or hardware degradation - Apply unsupervised and supervised learning methods to identify latent patterns in optical transceiver test data - Collaborate with cross-functional stakeholders — including development, manufacturing, and product engineering — to integrate ML insights into actionable test platform changes - Establish and maintain best practices for model validation, versioning, and deployment within the test environment - Communicate findings clearly to technical and non-technical audiences, including engineering leadership Required Qualifications: - MS or PhD in Data Science, Machine Learning, Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or a related quantitative field - Strong foundation in machine learning methods: supervised/unsupervised learning, regression, classification, clustering, anomaly detection - Proficiency in Python and data science stack (pandas, scikit-learn, PyTorch or TensorFlow, etc.) - Proficiency in SQL (MySQL or other relational database frameworks) for large-scale data extraction and analysis - Experience with JMP or similar statistical analysis and visualization platforms - Demonstrated ability to work with high-volume, real-world datasets in a production or research setting - Strong data visualization and communication skills Preferred Qualifications: - Familiarity with optical transceiver or photonics test data - Experience with big data platforms (Spark, Databricks, Azure ML, etc.) - Previous Infinera or Nokia internship experience - Exposure to Azure DevOps, Bitbucket, or similar source control platforms - Knowledge of statistical process control (SPC) or manufacturing yield modeling - Experience deploying ML models in operational or embedded environments - Familiarity with VB.net or similar programming languages used in test automation Required Skills: Machine learning, Supervised learning, Unsupervised learning, Regression, Classification, Clustering, Anomaly detection, Python, Pandas, Scikit-learn, PyTorch, TensorFlow, SQL, MySQL, JMP, Data visualization Benefits: 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