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
Strong 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 robust 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

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📌 Data/AI Engineer (British Columbia)
🏢 Jobtailor
📍 British Columbia