Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloadsBuild and maintain scalable batch and streaming data pipelines that ingest, transform, and curate high-quality datasets for AI and agentic workflowsImplement DataOps and MLOps automation, including CI/CD pipelines, data validation, ML model deployment, monitoring, and drift detectionWrite production-quality code, conduct thorough code reviews, troubleshoot performance issues, and continuously enhance system reliability, scalability, and observabilityRequirementsBachelor's degree in computer science, Software Engineering, or related field, plus experience in data, software, ML, or AI engineeringStrong SQL and database fundamentals (both relational and NoSQL)Proficiency in production-grade coding with solid software engineering fundamentals including version control, testing, and code review practicesDeep expertise in data modeling, distributed systems, storage optimization, and performance tuning for large-scale AI and analytics workloadsSolid understanding of the ML data lifecycle, including feature engineering, model integration,



deployment support, and monitoringExcellent 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 teamsCore CompetenciesDemonstrates 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 keywordsData ModelingMLOps AutomationSQL ProficiencyProduction-Grade CodingData Pipeline DevelopmentHard SkillsData ModelingSQLNoSQLDataOpsMLOpsFeature EngineeringPerformance TuningCode ReviewVersion ControlTestingSoft SkillsCommunicationCollaborationIndustry KeywordsAI WorkloadsData ValidationML Model DeploymentMonitoringDrift DetectionDistributed SystemsStorage OptimizationAnalytics Workloads #J-18808-Ljbffr

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