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Key skills for this role
Build and deploy end-to-end ML pipelines (training → validation → deployment → monitoring)
Convert notebooks and prototypes into production-grade services
Design batch and real-time inference systems
MLOps & Infrastructure
Implement CI/CD pipelines for ML workflows.
Work with tools like:
MLflow / Weights & Biases
Airflow / Prefect
Docker / Kubernetes
Manage model versioning, reproducibility, and experiment tracking
Collaborate with data engineering teams to
Build feature pipelines
Ensure data quality and consistency
Work with structured and unstructured data
Set up monitoring for:
Data drift
Model drift
Latency and system failures
Define SLAs for model performance
Optimize models for:
Latency
Cost
Throughput
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Work on inference optimization techniques (quantization, batching, caching)
Logile is the leading retail labor planning, workforce management, inventory management and store execution provider deployed in thousands of retail locations across North America, Europe, Australia, and Oceania.
Our proven AI, machine-learning technology and industrial engineering accelerate ROI and enable operational excellence with improved performance and empowered employees. Retailers worldwide rely on Logile solutions to boost profitability and competitive advantage by delivering the best service and products at optimal cost.
From labor standards development and modeling to unified forecasting, storewide scheduling, and time and attendance, to inventory management, task management, food safety, and employee self-service — we transform retail operations with a unified store-level solution. Gain the Advantage with The Logic of Retail. One Platform for store planning, scheduling and execution.
For more information, visit www.logile.com
AI-powered retail operations software provider helping retailers unify forecasting, labor, inventory, fresh operations and food safety.
Visit company websiteJobs and hiring trendsFull-time
Mid
Onsite
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