Take on the role of a Data Engineer specializing in MLOps, focusing on designing effective data models and creating scalable data pipelines for AI projects. This position emphasizes production-grade coding and performance monitoring. In this role, you will design data storage solutions and data models that effectively support AI workflows.

Implementing

DataOps and MLOps principles will be key, from automation of CI/CD processes to ensuring high-quality data through validation and monitoring. You'll collaborate across various teams to craft technically sound solutions. Key Responsibilities:
Design data models optimizing for AI workloads
Build scalable pipelines for data ingestion and curation
Implement automation for DataOps and MLOps




Write robust production code and perform code reviews
Address performance issues and improve system reliability

Requirements:
Degree in Computer Science or related field
Robust SQL proficiency combined with NoSQL knowledge
Solid coding skills with software engineering principles
Expertise in data modeling and storage optimization
Solid communication and collaboration capabilities

Drive value by utilizing your expertise in data engineering and MLOps in this exciting role!

📌 Data Engineer Specializing In Mlops Vancouver (Canada)
🏢 Jobtailor
📍 Canada