
Chief Machine Learning Operations Officer
5 days ago
Key Roles and Responsibilities:
We are seeking an experienced ML Ops Engineer to join our team.
- Design and implement monitoring systems using Prometheus.
- Implement experiment tracking and workflow orchestration using Kubeflow and Weights & Biases.
- Collaborate with data scientists and engineers to ensure seamless integration of machine learning models into production pipelines.
The ideal candidate will have 7+ years of experience in ML Ops engineering and a strong understanding of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
Required Skills and Qualifications:
- MLflow
- Kubeflow
- Prometheus
- PyTorch
- Scikit-learn
- Grafana
- MACHINE LEARNING
- Weights & Biases
Benefits and Opportunities:
The successful candidate will have the opportunity to work on high-profile projects and contribute to the development of cutting-edge technology. They will be part of a dynamic team that values collaboration, innovation, and continuous learning.
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