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.