Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads Build and maintain scalable batch and streaming data pipelines that ingest, transform, and curate high-quality datasets for AI and agentic workflows Implement DataOps and MLOps automation, including CI/CD pipelines, data validation, ML model deployment, monitoring, and drift detection Write production-quality code, conduct thorough code reviews, troubleshoot performance issues, and continuously enhance system reliability, scalability, and observability Requirements

Bachelor’s degree in computer science, Software Engineering, or related field, plus experience in data, software, ML, or AI engineering Solid SQL and database fundamentals (both relational and NoSQL) Proficiency in production-grade coding with strong software engineering fundamentals including version control, testing, and code review practices Deep expertise in data modeling, distributed systems, storage optimization, and performance tuning for large-scale AI and analytics workloads Solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support,



and monitoring Excellent communication and collaboration skills with the ability to translate complex business requirements into well-architected technical solutions; proven ability to work effectively across product, platform, and cross-functional engineering teams Core Competencies

Demonstrates expertise in designing and optimizing data models and pipelines for AI workloads, with a strong foundation in DataOps and MLOps practices. Proficient in production-grade coding and collaboration across cross-functional teams to deliver high-quality technical solutions. Highest-signal resume keywords

Data Modeling MLOps Automation SQL Proficiency Production-Grade Coding Data Pipeline Development Hard Skills

Data Modeling SQL NoSQL DataOps MLOps Feature Engineering Performance Tuning Code Review Version Control Testing Soft Skills

Communication Collaboration Industry Keywords

AI Workloads Data Validation ML Model Deployment Monitoring Drift Detection Distributed Systems Storage Optimization Analytics Workloads

#J-18808-Ljbffr

📌 Data/AI Engineer (Vancouver)
🏢 Jobtailor
📍 Vancouver