Must Haves
- 6+ years ML Engineering / Software Engineering experience
- Strong Python
- Spark & distributed data processing
- ML platform architecture experience
- Production ML deployment experience
- CI/CD for ML systems
- Docker & Kubernetes
- Cloud ML platforms (Vertex AI preferred, Azure/Google Cloud Platform acceptable)
- Monitoring, observability, model lifecycle management
- Ability to design reusable ML engineering patterns across teams
- Technical leadership / architecture influence
- Experience partnering with Data Scientists, Data Engineers, Product & Platform teams
Nice to Have
- Recommendation & Search systems
- Retrieval systems
- Model registries
- Real-time inference systems
- MLflow, Databricks, Terraform/IaC
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior