- Master's or Ph.D. in fields related to privacy-enhancing technologies, artificial intelligence, machine learning, cybersecurity, cryptography, computer science, data science, mathematics, or statistics.- 5+ years of recent demonstrated Python development experience with libraries such as numpy, scipy, pandas, polars, pyspark, pytorch, scikit-learn, and matplotlib/seaborn.- 3+ years of recent demonstrated extensive experience in DevOps principles, practices, and methodologies including SOLID principles, software version control, continuous integration and deployment for data science applications.- Demonstrated experience analyzing and working with large, complex datasets within public sector, financial services,



or similarly regulated environments.- Demonstrated experience developing and implementing Privacy-Enhancing Technologies (PETs), including data anonymization, de-identification, differential privacy, secure multiparty computation, federated learning, homomorphic encryption, or similar privacy-preserving techniques.- Demonstrated knowledge of data structures, data models, and data relationships, including structured, semi-structured, unstructured, nested, graph, and network-based datasets.- Demonstrated experience using cloud-based data and analytics platforms, including Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, and Docker.#J-18808-Ljbffr

📌 Associate Software Engineer (Ottawa)
🏢 Akamai
📍 Ottawa