MLOps Engineer
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Job Location:
Bengaluru Urban - India
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
JD:
Required Qualifications:
Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines.
Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing model registries.
Cloud Proficiency: Hands-on experience with both Azure and AWS ecosystems.
Coding: Strong proficiency in Python and shell scripting.
Containers: Docker and container orchestration.
Required Qualifications:
Orchestration: Deep experience with Valohai (Preferred) Kubeflow Airflow or AWS SageMaker Pipelines.
Model Lifecycle: Expert-level knowledge of MLflow for tracking experiments and managing model registries.
Cloud Proficiency: Hands-on experience with both Azure and AWS ecosystems.
Coding: Strong proficiency in Python and shell scripting.
Containers: Docker and container orchestration.
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
