Senior Machine Learning I MLOps Engineer
Tasks
- Build and maintain machine learning CI CD pipelines
- Collaborate with data science and platform teams to deliver AI solutions
- Deploy and manage real time and batch inference
- Deploy machine learning models to production
- Implement model governance practices
- Manage feature store environments
- Monitor production model performance
- Optimize cloud infrastructure cost usage
- Set up observability for machine learning services
Perks/Benefits
- Childcare assistance
- Continuous learning platform
- Dental insurance
- Employee discounts
- Extended parental leave
- Fitness partnerships
- Food allowance
- Language learning access
- Life insurance
- Meal allowance
- Medical insurance
- Profit sharing
- Wellness initiatives
Skills/Tech-stack
AWS | AWS CDK | AWS CodePipeline | AWS Lambda | AWS Step Functions | Alerting | Amazon EKS | Amazon SageMaker | CI/CD | CloudFormation | CloudWatch | Data Drift | Docker | Feature Store | FinOps | GitHub Actions | GitLab CI | IAM | Jenkins | Kubernetes | Latency | Logging | Model Drift | Model Monitoring | Model Registry | Monitoring | Observability | Python | S3 | SQL | Step Functions | Terraform | Throughput | VPC
Education
N/A
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