Hirematic Talent Solutions is hiring on behalf of a confidential client for an experienced Lead Data Scientist to drive the development of next-generation Artificial Intelligence and Machine Learning solutions. This role is ideal for a highly technical, hands-on data scientist with expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and Agentic AI. You will lead end-to-end data science initiatives—from research and experimentation to production deployment—while collaborating with cross-functional teams to solve complex business challenges through innovative AI solutions.

Location: Toronto, Ontario (Onsite – 5 days per week) Compensation: CAD $55/hour Job Type: Contract

Responsibilities • Lead the end-to-end design, development, deployment, and monitoring of Machine Learning, Deep Learning, Generative AI, and Agentic AI solutions. • Transform complex business challenges into scalable AI and data science solutions. • Perform data extraction, exploration, cleansing, feature engineering, modeling, validation, and deployment. • Build predictive models, recommendation systems, NLP solutions, and advanced AI applications. • Develop proof-of-concepts (PoCs), prototypes, and innovation initiatives using emerging AI technologies. • Build and deploy GenAI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and Agentic AI frameworks. • Evaluate AI frameworks, tools, and technologies to recommend optimal solutions. • Deploy, monitor, document, and continuously improve production AI models. • Present technical findings and business insights to engineering teams, business stakeholders, and executive leadership. • Promote responsible AI practices, data governance, privacy, and model transparency. • Contribute to intellectual property through patents, publications, conferences, and technical presentations. • Mentor junior data scientists and provide technical leadership across AI initiatives.

Qualifications • Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or another quantitative discipline. • Ph.D. is highly preferred. • Minimum 7 years of professional Data Science experience developing and deploying Machine Learning solutions end-to-end (5+ years may be considered with a relevant Ph.D.). • Extensive experience with Machine Learning, Deep Learning, Generative AI, and modern AI frameworks. • Strong understanding of mathematical foundations, statistics, optimization, and AI algorithms. • Excellent communication, presentation, analytical, and problem-solving skills. • Strong understanding of responsible AI, data governance, privacy, and security best practices.

Required Skills • Python • PySpark • SQL • Machine Learning • Deep Learning • Generative AI (GenAI) • Large Language Models (LLMs) • Agentic AI • Retrieval-Augmented Generation (RAG) • Vector Databases • AI Agents • ML Frameworks • Deep Learning Frameworks • Databricks • Hadoop • AWS • Azure • Data Science • Statistical Modeling • Feature Engineering • Model Deployment • Model Monitoring

Preferred Skills • Ph.D. in a quantitative or AI-related field. • Scientific research and publication experience. • Patent development or intellectual property contributions. • Natural Language Processing (NLP). • MLOps. • Experiment tracking and model lifecycle management. • Proof-of-Concept (PoC) development. • Cloud-native AI platforms.

Ideal Candidate • Passionate about solving complex business problems using AI and advanced analytics. • Strong scientific thinker with exceptional analytical and mathematical skills. • Comfortable leading research, experimentation, and production AI initiatives independently. • Excellent communicator who can translate technical concepts into business value. • Continuously evaluates emerging AI technologies and drives innovation across the organization.