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 strong 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
- Solid 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.

📌 AI Pipeline Engineer with DataOps Focus (Vancouver)
🏢 Jobtailor
📍 Vancouver