Elevate your career as an AI Pipeline Engineer, specializing in DataOps, where you'll design and optimize data models tailored for high-performance AI workloads. This role involves building data pipelines that ensure quality and governance.
We're looking for a skilled engineer with a solid background in both database fundamentals and scalable data solutions. You'll implement MLOps automation, manage CI/CD pipelines, and contribute to writing reliable code. This position requires strong problem-solving abilities to troubleshoot and enhance system performance continuously.
Key Responsibilities:
• Optimize models and storage patterns for AI workloads
• Build and maintain scalable data pipelines
• Implement DataOps and MLOps automation processes




• Write high-quality production code and conduct reviews
• Monitor performance and troubleshoot issues
Requirements:
• Bachelor’s degree in a related field
• Strong expertise in SQL and NoSQL
• Proficient in production-grade coding and software practices
• Deep knowledge of data modeling and distributed systems
• Excellent communication for cross-functional teamwork
Utilize your data engineering skills to drive impactful AI solutions in this pivotal role.
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📌 AI Pipeline Engineer with DataOps Focus (Vancouver)
🏢 Jobtailor
📍 Vancouver