Tech Stack
AWSAzureCloudDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformKubernetesMicroservicesMySQLPostgresPython
About the role
- Lead the development of MLOps infrastructure components
- Oversee the integration of various MLOps tools (MLFLOW, Kubernetes, etc.)
- Manage implementation timeline and resource allocation
- Design APIs for ML services and system integration
- Lead deployment automation and pipeline orchestration
- Conduct feedback collection and manage improvement cycles
Requirements
- 6+ years in software engineering with MLOps focus
- Experience leading development teams on complex projects
- Strong knowledge of containerization and orchestration (Kubernetes)
- Expertise in API design and service integration
- Experience with GitLab CI/CD pipelines for ML workflows
- Strong project management and communication skills
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsAPI designcontainerizationorchestrationKubernetesGitLab CI/CDdeployment automationpipeline orchestrationMLFLOW
Soft skills
project managementcommunicationleadership