United States onlyWe are looking for a motivated Senior Machine Learning (MLOps) Engineer to work on challenging problems in a variety of domains – including enterprise IT, health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes.
Requirements
- Provision, operate, and maintain the CI/CD pipelines and infrastructure for the development and deployment AI Agents
- Design, implement, and maintain tools that enable agent deployments using MLOps best practices in scalable cloud infrastructure
- Develop and document processes that enable secure automated development and deployment of AI agents
- Design, build, train, and evaluate Machine Learning models
- Build repeatable Machine Learning pipelines for model training, evaluation, deployment, and monitoring
- Perform R&D to enable AI Observability and performance metrics
- Design, implement, and manage cloud resources for MLOps infrastructure
- Operationalize production AI/ML systems by implementing model serving, monitoring, data and model drift detection, logging, and lifecycle management to ensure reliability, scalability, and maintainability.
- Work in a team of AI/ML researchers and engineers using Agile development processes
Benefits
- Paid time off
- 401k matching
- Retirement plan
- Tuition reimbursement
