Software Engineer - ML Ops/Java

Job Summary: MLOps / Java Engineer (Contract)Overview:The team is looking to hire a contractor to support machine learning initiatives, specifically focused on deploying and scaling ML models in production.Key ResponsibilitiesSupport machine learning operations (MLOps) initiativesHelp deploy, manage, and scale ML models in production environmentsWork on expanding an existing ML product (smart fulfillment model rollout)Collaborate with engineering teams to integrate ML solutions into production systemsRequired Skills & ExperienceStrong experience in MLOps / ML engineering with PythonProven ability to take ML models from development to productionBackground in data and machine learning systemsExperience with Java (can be secondary to ML expertise, but still required)Familiarity with modern AI tooling, especially:GitHub Copilot (preferred)Exposure to tools like Claude is a plus (not required)Nice-to-HaveExperience working in enterprise environmentsExposure to large-scale ML deploymentsBalanced skill set across ML + backend engineeringCandidate ProfileIdeally:Stronger on ML/MLOps, with some Java experienceOR strong Java engineer with meaningful ML exposureMust be dependable and able to work without causing delivery riskLogisticsType: ContractLocation: Mexico or BrazilOpenings: 1Start: ASAPContext / Business NeedIncreased demand due to:Recent ML product launchExpansion to additional regions (e.g., Florida stores)Skill set is hard to find and high priorityMain skills:JavaPythonBringing ML models to productionGCPCopilot agent mode for development