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AI Cloud Data Engineer
Altera · Toronto, Ontario · Posted 14 days ago
Build RAG systems, vector databases, and AI agents that take generative AI from concept to production at a semiconductor company.
Job Description: Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into actionable intelligence. In this role, you will build scalable data and AI systems, develop advanced analytics and machine learning models, and create intelligent applications that enable data-driven decision-making across the organization. You will work closely with engineers, product teams, and business stakeholders to deliver innovative AI solutions from concept to production.
Job Responsibilities
- Design, develop, and optimize AI-powered applications, data pipelines, and scalable cloud-based data platforms.
- Build and deploy machine learning, deep learning, and Generative AI solutions to solve complex business and engineering challenges.
- Develop algorithms, predictive models, and analytical frameworks that transform structured and unstructured data into actionable insights.
- Create and maintain RAG systems, vector databases, AI agents, and intelligent search solutions to enhance knowledge discovery and automation.
- Conduct large-scale experimentation, model evaluation, and performance benchmarking to improve AI solution effectiveness and reliability.
- Explore, acquire, process, and integrate data from diverse sources while ensuring data quality, integrity, and governance.
- Analyze datasets to identify trends, patterns, anomalies, and opportunities, implementing corrective actions where necessary.
- Develop dashboards, visualizations, reports, and data-driven applications that effectively communicate insights to technical and business audiences.
- Collaborate with software engineers, data scientists, and product teams to ensure AI models and analytics solutions are scalable, maintainable, and production-ready.
- Build and maintain AI/ML training, inference, and deployment pipelines using modern MLOps and cloud-native practices.
- Establish and promote best practices for data engineering, machine learning, experimentation, coding standards, and model governance.
- Support troubleshooting, monitoring, and optimization of AI and analytics platforms using commercial and custom-built tools.
- Evaluate emerging AI, machine learning, and data technologies to drive innovation and improve platform capabilities.
- Contribute to research, prototyping, and development efforts related to AI, machine learning, and advanced analytics initiatives
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This posting is sourced from Altera's own career site — applying takes you there directly.
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