Top Tech Jobs & Startup Jobs in Toronto

As a Senior .NET Full Stack Developer, you will build robust, cross-platform applications using .NET technologies, focusing on Azure cloud solutions and maintaining database integrity.

The Project Manager oversees project plans, budgets, and timelines, ensures timely delivery, manages risks, and communicates with stakeholders while supporting recruitment and pre-sales activities.

Design, develop, and deploy scalable machine learning solutions, integrate ML with data warehouses, and optimize model performance in production environments.

The Sr. Machine Learning Engineer will design and deploy scalable ML systems, collaborate across teams, and ensure production readiness of ML models using modern frameworks and cloud services.

The Databricks Engineer designs, develops, and optimizes data solutions using Databricks, focusing on big data pipelines, ETL workflows, and collaboration with teams to enhance data-driven insights.

The Technical Pre-Sales Consultant will engage with clients to understand their needs, recommend AI and data solutions, develop proposals, and deliver technical presentations, ensuring alignment of solutions with client requirements.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Data Analyst will analyze datasets, create visualizations, generate reports, and collaborate with teams to provide actionable insights using Power BI and SQL.

Design and implement scalable data architectures, establish data governance, oversee ETL processes and collaborate with teams to enhance data infrastructure.

The ML Developer will develop and optimize machine learning models, integrate AI features into applications, and collaborate with teams for best practices in AI solutions.