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Position Title: RQ11040 - Senior Machine Learning EngineerLocation : Toronto, Ontario (Hybrid) Mode: ContractClient: Government Services Integration Cluster Position OverviewClient is seeking a highly skilled and experienced Senior Machine Learning Engineer to design, develop, and implement advanced machine learning and natural language processing (NLP) models. The successful candidate will leverage data-driven approaches to solve complex business problems and deliver scalable, high-performance machine learning solutions aligned with organizational objectives. Key ResponsibilitiesDesign, develop, and deploy machine learning and deep learning models to support business initiatives.Analyze large and complex datasets to identify patterns, relationships, and actionable insights.Develop and implement NLP solutions using advanced techniques, including transformer-based models such as BERT.Perform data preprocessing, feature engineering, and data validation to ensure model accuracy and reliability.Conduct experiments to evaluate model performance and iterate based on findings.Optimize models through hyperparameter tuning and performance enhancement techniques.Apply transfer learning approaches using pre-trained models for domain-specific use cases.Define and implement validation strategies and performance metrics.Collaborate with cross-functional teams to translate business requirements into technical solutions.Manage data acquisition processes, including sourcing and validating external datasets when required.Ensure efficient utilization of computational resources, data, and tools to meet project timelines.Document methodologies, processes, and results for knowledge sharing and compliance.Required Skills and ExperienceMachine Learning & NLP ExpertiseStrong understanding of machine learning concepts, algorithms, and statistical techniques.Proven experience in Natural Language Processing (NLP), including text classification, sentiment analysis, and language modeling.Hands-on experience with transformer-based models such as BERT.Deep Learning FrameworksProficiency in leading deep learning frameworks such as TensorFlow and PyTorch.Experience in training, fine-tuning, and deploying deep learning models.Data Processing & ProgrammingStrong programming skills in Python.Experience with data manipulation and analysis libraries including NumPy, Pandas, and Scikit-learn.Expertise in data preprocessing techniques such as tokenization and word embeddings.Model OptimizationExperience in model evaluation, validation strategies, and hyperparameter tuning.Ability to balance model complexity with performance and scalability.Transfer LearningPractical knowledge of transfer learning techniques.Experience leveraging pre-trained models for customized applications.General CompetenciesStrong analytical and problem-solving skills.Experience working with large datasets and distributed systems.Ability to manage multiple priorities and meet tight deadlines.Excellent communication and stakeholder management skills.Proven ability to work both independently and collaboratively in a team environment.Nice to HaveExperience working in public sector or government environments.Familiarity with model deployment and monitoring practices.Knowledge of cloud platforms and scalable ML infrastructure.