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 ocasión de trabajo.
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
What they need
- 5+ years in ML Engineering / MLOps / Data Engineering
- Strong experience deploying ML models into production at scale
- Hands-on with Databricks, MLflow
- Strong xcskxlj 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)
If you are interested in this role, then please apply or send me a message.
📌 ML Engineer - Contract (León)
🏢 Talent
📍 León