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We're partnered with an innovative client seeking an experienced MLops Engineer who has supported Data Science platforms for scalability.
THE ROLE
- You will run discovery sessions with the data science team to understand their end-to-end development process and identify needs
- Design and implement solutions to aid the data science teams with:
- Simplified and reliable deployment through CI/CD pipelines
- Monitoring and alerting for ML model endpoints and underlying infrastructure
- Monitoring and alerting for ML model drift
- Enabling high availability of ML models
- Review and propose best practices for development processes
YOUR EXPERIENCE
- Experience with CI/CD pipelines using Github Actions
- General AWS experience including networking and IAM
- Experience setting up the following AWS products: API Gateway, SageMaker Endpoints, SageMaker Notebooks and Studio, and CloudWatch
- Terraform
- Docker containers
- Python
- Shell script
