Senior Java/ Machine Learning Engineer (Supply Chain & Fulfillment)

Title: Senior Java / Machine Learning Engineer (Supply Chain & Fulfillment) Overview We'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 role bridges backend engineering and production ML, turning models into real-time decisioning systems used across distribution centers and eCommerce platforms. You'll work with high-volume data and partner with product, data science, and operations to deliver systems 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, order routing) · 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 engineers Required · 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 environments Preferred · 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 logistics Ideal Profile A backend-heavy engineer who has successfully shipped ML-powered services and understands tradeoffs between heuristics, ML, and AI systems in real-world operations.