**Introduction** We are seeking enthusiastic and driven interns to join our AI/ML and Advanced Analytics team. This internship offers an opportunity to work on cutting-edge projects involving machine learning, artificial intelligence, advanced analytics, and data science. You will gain hands-on experience developing and deploying AI-driven solutions for real-world applications in domains such as payments systems, advanced analytics, and edge AI hardware. **Your role and responsibilities** Develop and deploy advanced machine learning models for predictive analytics, anomaly detection, and optimization in business-critical systems, such as payments platforms and supply chains. * Design and implement analytical pipelines to process structured and unstructured data, supporting real-time decision-making and insights generation. * Build models for predictive maintenance, customer behavior analysis, fraud detection, and operational efficiency improvement. * Leverage advanced statistical methods and machine learning techniques (e.g., regression, classification, clustering, deep learning) to solve complex business problems. * Integrate ML models with analytics platforms and visualization tools for actionable insights delivery. * Collaborate with data engineers to ensure data pipelines are robust, scalable, and optimized for ML model training and deployment. * Monitor and retrain deployed models to ensure they meet performance and accuracy benchmarks over time. * Conduct exploratory data analysis (EDA) to uncover trends, correlations, and insights that inform strategic decision-making. * Apply natural language processing (NLP) techniques for text analytics, sentiment analysis, and document classification. * Ensure compliance with data privacy and security regulations in all analytics workflows. This position is open to applicants who reside in Toronto or Montreal and is open to applicants seeking a 12 months internship work term, commencing in May 2025. It is mandatory that all applicants are enrolled in full-time studies at a post- secondary institution and returning to full- time studies upon completion of their work term **Required technical and professional expertise** * Proficiency in Python, R, or Java for AI/ML model development and testing * Strong data modeling skills, including the ability to design and implement normalized and denormalized schemas * Proficiency in encryption technologies and secure data handling, including experience with encryption protocols, data masking, and access control mechanisms * Experience with data integration tools and frameworks for real-time and batch data processing * Knowledge of cloud platforms and cloud-native database services, including serverless computing, data lakes, and containerized data workloads. * Strong troubleshooting skills to identify and resolve performance, integration, and data quality issues in complex data ecosystems * Ability to work effectively with cross-functional teams, ensuring that data solutions meet business and technical requirements * Familiarity with data governance practices, ensuring compliance with data privacy regulations and standards **Preferred technical and professional experience** Create up to 3 bullets max (encouraging then to focus on required skills)