Baptist Health is looking to solve the problem of building and maintaining infrastructure that supports AI/ML development lifecycle, from data pipelines and model training to deployment and monitoring.
Requirements
- Infrastructure as Code (IaC): Terraform
- CI/CD: Extensive experience with Jenkins and GitLab CI
- Cloud Computing (AWS & GCP): Deep knowledge of AWS and GCP services
- Containerization and Orchestration: Strong proficiency in Docker and Kubernetes
- MLOps: Hands-on experience with MLOps tools and frameworks
- Programming Languages: Proficiency in Python
- Data Pipelines: Experience with Airflow
- Databases: Familiarity with PostgreSQL and Snowflake
- Monitoring and Observability: Experience with monitoring tools like Prometheus, Grafana, and the ELK stack
Responsibilities
- Building and maintaining the infrastructure that supports AI/ML development lifecycle
- Working closely with data scientists and AI engineers to ensure that systems are reliable, scalable, and efficient
- Designing, building, and managing complex CI/CD pipelines for both application and infrastructure deployments
- Designing and managing scalable and secure cloud infrastructure on AWS and GCP platforms
- Building and managing containerized applications and having a deep understanding of Kubernetes concepts
- Building and managing data pipelines using Airflow
Other
- Master's degree
- 10 years of minimum required experience
- EOE, including disability/vets
