We're looking for an MLOps Engineer to build the infrastructure and tooling that enables our AI teams to deploy and manage models at scale.
Responsibilities
- Build and maintain ML infrastructure and pipelines
- Implement model deployment and serving systems
- Create monitoring and alerting for ML systems
- Automate model training and evaluation
- Collaborate with ML engineers and data scientists
Requirements
- 3+ years of experience in MLOps or DevOps
- Experience with ML platforms (Databricks, SageMaker, Vertex AI)
- Strong Python and infrastructure automation skills
- Knowledge of containerization and Kubernetes
- Understanding of CI/CD for ML
Nice to Have
- + Experience with feature stores
- + Knowledge of model monitoring tools
- + Familiarity with A/B testing frameworks
Required Skills