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Senior Java/ Machine Learning Engineer (Supply Chain & ...

Marathon TS - Atlanta, GA

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Job Description

Title: Senior Java / Machine Learning Engineer (Supply Chain & Fulfillment)OverviewWe're hiring a Senior Java / ML Engineer to build intelligent systems that power demand forecasting,inventory optimization, routing, and fulfillment in a large-scale retail environment. This rolebridges backend engineering and production ML, turning models into real-time decisioningsystems used across distribution centers and eCommerce platforms.You'll work with high-volume data and partner with product, data science, and operations to deliversystems that directly impact in-stock rates, delivery speed, and cost efficiency.Responsibilities? Design and build Java-based microservices (Spring Boot) real-time inference? Productionize ML models for forecasting, recommendations, and optimization? Build data pipelines for training and inference (batch + streaming)? Expose models via REST/gRPC APIs and integrate into operational systems (WMS, orderrouting)? Optimize for latency, throughput, and reliability in distributed systems? Implement monitoring (model drift, accuracy, latency, failure modes) and retraining strategies? Partner with DS to choose between heuristics vs classical ML vs LLM/agentic approaches? Contribute to CI/CD and DevOps for ML systems? Participate in architecture decisions and mentor engineersRequired? 5-8+ years in software engineering with strong Java? Experience with Spring Boot and microservices? Hands-on experience integrating ML into production systems? Strong systems design (APIs, distributed systems)? Working knowledge of Python for ML workflows? Solid SQL + experience with large-scale data? Cloud experience with Google Cloud Platform, Amazon Web Services, or Microsoft Azure? Docker + Kubernetes? Comfortable operating in ambiguous, high-impact environmentsPreferred? Experience with Kafka / PubSub? MLOps tooling (MLflow, Vertex AI)? Experience with forecasting, inventory, routing, or pricing? Exposure to LLMs, RAG, or agent-based systems? Experience in retail, supply chain, or logisticsIdeal ProfileA backend-heavy engineer who has successfully shipped ML-powered services and understandstradeoffs between heuristics, ML, and AI systems in real-world operations.

Created: 2026-05-09

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