Company DescriptionWepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, recent economic models, and smarter environments. In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.What We Are Looking ForCOURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCEDo these words resonate with you? They are our company values. At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve. At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients — this is what we expect from our future colleagues.Job DescriptionWe are seeking a Senior Developer - Privacy-Enhancing Technologies (PETs) to join our team.ResponsibilitiesDevelop and implement Privacy-Enhancing Technologies (PETs) for structured and unstructured datasets in collaboration with Subject Matter Experts (SMEs)Apply advanced computing principles to efficiently integrate multiple open-source libraries, components, and platforms into cohesive and operational solutionsDesign, develop, and validate proof-of-concept (POC) solutions, with a focus on deployment in production environmentsDevelop and implement test harnesses to evaluate and compare different solution approaches based on performance, scalability, quality, and privacy metricsCreate, maintain, and optimize Extract-Transform-Load (ETL) pipelines to ingest, transform, validate, sanitize, and prepare data for processing and analysisProvision, configure, orchestrate, and manage cloud resources required to support deployed solutionsAssess and recommend current tools,



technologies, and processes to improve solution performance, efficiency, scalability, and maintainabilityAnalyze results and technical findings, develop recommendations, and present conclusions to stakeholders to support the large-scale deployment of operational PET solutionsPrepare technical reports, data deliverables, presentations, documentation, and other artifacts required to support project execution and decision-makingPerform any other related activities or produce any other related deliverables as requiredQualificationsMaster's degree or Ph.D. in a field related to Privacy-Enhancing Technologies (PETs), Artificial Intelligence (AI), Machine Learning, Cybersecurity, Cryptography, Computer Science, Data Science, Mathematics, or StatisticsA minimum of five (5) years of recent, demonstrated experience in Python development, including the following libraries: NumPy, SciPy, Pandas, Polars, PySpark, PyTorch, Scikit-learn, and Matplotlib/SeabornA minimum of three (3) years of recent, demonstrated experience with DevOps practices and methodologies, including SOLID principles, software version control, Continuous Integration (CI), Continuous Deployment (CD), and the development and deployment of data science applicationsDemonstrated experience analyzing and processing large, complex datasets within government organizations, financial services, or other highly regulated environmentsDemonstrated experience developing and implementing privacy-preserving technologies, including data anonymization, de-identification, differential privacy, secure multi-party computation, federated learning, homomorphic encryption, or other equivalent privacy-preserving techniquesDemonstrated knowledge of data structures, data models,



and data relationshipsDemonstrated experience with the following platforms and tools: Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, and DockerDemonstrated knowledge of Linux environments and basic scripting conceptsDemonstrated knowledge of techniques such as Monte Carlo simulation, Markov models, synthetic data generation, differential privacy, homomorphic encryption, and Zero-Knowledge ProofsDemonstrated knowledge of the following concepts and techniques: GANs (Generative Adversarial Networks), Transformers, Auto-Encoders, and Retrieval-Augmented Generation (RAG)Knowledge of machine learning model development methodologiesDemonstrated knowledge of infrastructure automation and management concepts, including Infrastructure as Code (IaC), Ansible, Terraform, Puppet, Chef, or equivalent technologiesThe consultant must hold a valid Government of Canada Secret security clearanceExcellent English communication skills, as the position is based in OttawaOnly candidates legally authorized to work for any employer in Canada will be consideredWepoint BenefitsMinimum of 3 weeks of vacation starting from the first yearComprehensive group insurance with a generous employer contributionEmployer contribution to a group RRSPFull remote work flexibility: Hybrid, Remote, or On-siteA warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.Annual IT equipment budgetA balanced work setting with flexible working hoursCareer development: training and certifications, online or in-person learning, Wepoint Academy, etc.An international community of experts ready to share their knowledgeA company culture focused on individuals' needs and their belonging to a robust community#tech&security; Permis CNESST : AP-2504754, AP-2504755, AR-2504756As an architect of major transformations for companies and public sector players, Onepoint is building a direction and outlining future prospects in an uncertain world, by putting technological innovation at the service of its customers' and society's progress.

📌 Senior Developer - Privacy-Enhancing Technology (Montreal)
🏢 CA004 WEPOINT Canada Développement
📍 Montreal