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Top Tech Jobs & Startup Jobs in Toronto
As a Senior QA Engineer at SDG, you will develop and execute test plans, perform manual and automated testing, identify and document bugs, collaborate with developers, and contribute to QA processes for an innovative chat assistant in dating products.
As a Senior ML Engineer, you will lead projects concerning communication activities and machine learning for core business tasks. You will be responsible for developing ML models, collaborating with cross-functional teams, and sharing knowledge within your team. Your role involves ensuring projects progress from data to production while leveraging various ML tools and technologies.
The Senior .NET Developer will design and implement architecture for high-loaded applications, develop and enhance functionalities, monitor system quality, and write technical documentation while collaborating with a team.
As a Senior Automation QA Engineer, you will design and develop automated test scripts for API and WebUI, maintain and optimize these scripts, and build and manage CI/CD pipelines along with test environments.
As a Product Analyst, you will focus on mobile products by automating data collection, analyzing key metrics, planning A/B tests, providing analytical support for product development, and uncovering growth opportunities through data analysis.
The Chief of Product will oversee the entire product business plan from concept to production, manage international Internet products with a focus on P&L, lead a product team, and prioritize user requirements while ensuring effective team organization and task delegation.
The Database Administrator will collaborate with the existing DBA to optimize database performance, implement a robust architecture, and document database processes. Responsibilities include monitoring and analyzing database performance, ensuring data integrity, security, and participating in the new database architecture design.
The Senior/Team Lead CV Engineer will lead a team to train and fine-tune generative models and image classifiers. Responsibilities include developing a CV roadmap, improving model quality, and optionally training multimodal bots while keeping up with new technologies.
The Senior/Team Lead NLP Engineer will enhance ML service architecture, optimize model training processes, and improve communication relevance between bots and users. The role involves managing AI processes, preparing training data, and overseeing team workflows, focusing on conversational AI applications.
As a Senior QA Engineer, you will develop and execute test plans, conduct manual and automated testing of web applications, APIs, and large language models (LLMs), document bugs, collaborate with developers, and enhance QA processes while maintaining test documentation.
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