ML Engineer - Contract
Signify has partnered with a key client who is currently hiring a Senior ML Engineer to drive the productionisation and scaling of ML systems.
Aumente sus posibilidades de conseguir una entrevista leyendo la siguiente descripción general de este puesto antes de presentar su candidatura.
Staff ML Engineer (Contract)
Remote | 3–6 months | ASAP Start
Location - Remote - (The team is based on the East Coast)
What you’ll do
- Own end-to-end ML productionisation (deployment → serving → monitoring)
- Build and scale batch & real-time model serving systems
- Develop feature pipelines & feature serving infrastructure
- Implement 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 systems
- 5+ years in ML Engineering / MLOps / Data Engineering
- Strong experience deploying ML models into production at scale
- Hands-on with Databricks, MLflow
- Strong coding skills (Python essential, Scala/Java nice to have)
- Experience with AWS/Azure, Docker, Kubernetes
- Solid understanding of ML systems, pipelines & lifecycle management
- Experience with Infrastructure as Code (Terraform/CDK)
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.