Staff MLOps Engineer
Core
Design, implement, and optimize machine learning operations infrastructure to ensure seamless deployment and maintenance of ML models for HR solutions.
Role type
Staff MLOps Engineer
Builds
Production ML models, automation pipelines, and monitoring systems for HR data platforms
Domain
Human Resources Technology / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Java, TensorFlow, PyTorch, CI/CD pipelines, Git, Docker, Kubernetes, AWS, Azure, GCP, Dimensional Modeling, Data warehouse concepts, SDLC process
Preferred skills
Tableau, EDW, Data Lake, BI projects
Technologies
TensorFlow, PyTorch, Docker, Kubernetes, AWS, Azure, GCP, Tableau, Git
Responsibilities
Develop and scale infrastructure for ML model deployment; Design and implement automation pipelines for model training, testing, and deployment; Deploy ML models into production with monitoring and alerting; Collaborate with data scientists and DevOps teams to integrate ML solutions; Ensure adherence to security protocols and compliance standards; Propose enhancements to MLOps processes; Mentor team members and define coding standards
Seniority
Staff, hands-on IC with mentorship
