Key skills
End-to-end ML lifecycleTerraformContainerization technologiesCI/CD toolsPredictive modelingPythonRSQLNLPHealthcare industryRAG frameworkMachine LearningMLRAGKubernetesDockerGitHub ActionsGitHubCI/CD
About this role
Prosum is a company seeking a Machine Learning Engineer to manage the end-to-end ML lifecycle. The role involves automation, containerization, and working with CI/CD tools, focusing on applications within the healthcare industry.
Responsibilities:
- Experience in managing end-to-end ML lifecycle
- Experience in managing automation with Terraform
- Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes)
- CI/CD tools (e.g., Github Actions)
- Programming languages and frameworks (e.g., Python, R, SQL)
- Deep understanding of coding, architecture, and deployment processes
- Strong understanding of critical performance metrics
- Extensive experience in predictive modeling, LLMs, and NLP
- Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs
Requirements:
- Experience in managing end-to-end ML lifecycle
- Experience in managing automation with Terraform
- Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes)
- CI/CD tools (e.g., Github Actions)
- Programming languages and frameworks (e.g., Python, R, SQL)
- Deep understanding of coding, architecture, and deployment processes
- Strong understanding of critical performance metrics
- Extensive experience in predictive modeling, LLMs, and NLP
- Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs
- Healthcare industry