Signify has partnered with a key client who is currently hiring a Senior ML Engineer to drive the productionisation and scaling of ML systems.Envíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta posibilidad de trabajo.Staff ML Engineer (Contract)Remote | 3–6 months | ASAP StartLocation - Remote - (The team is based on the East Coast)What you'll doOwn end-to-end ML productionisation (deployment → serving → monitoring)Build and scale batch & real-time model serving systemsDevelop feature pipelines & feature serving infrastructureImplement CI/CD pipelines for ML (build, test, deploy)Manage model lifecycle (versioning, retraining, rollout/rollback)Ensure performance, reliability & observability (SLAs, logging, alerting)Troubleshoot production issues & optimise ML systemsWhat they need5+ years in ML Engineering / MLOps / Data EngineeringStrong experience deploying ML models into production at scaleHands-on with Databricks, MLflowStrong xohynlm coding skills (Python essential, Scala/Java nice to have)Experience with AWS/Azure, Docker, KubernetesSolid understanding of ML systems, pipelines & lifecycle managementExperience with Infrastructure as Code (Terraform/CDK)If you are interested in this role, then please apply or send me a message.