
Machine Learning Systems Developer
4 days ago
Key Responsibilities:
- Develop and maintain machine learning systems using Prometheus and Grafana for efficient workflow monitoring.
- Implement experiment tracking and workflow orchestration utilizing MLflow, Kubeflow, and Weights & Biases.
- Collaborate with cross-functional teams to integrate machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) into production environments ensuring seamless integration.
- Design data engineering pipelines for feature engineering and data preprocessing.
Requirements:
- 7+ years of experience in related fields.
- Proficiency in Python programming language and other relevant languages.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Familiarity with containerization technologies including Docker and Kubernetes.
- Knowledge of cloud platforms AWS, GCP, Azure.
Benefits include a collaborative work environment, opportunities for professional growth and development, and the chance to work on challenging projects.
This role offers a unique opportunity to work on cutting-edge technology and be part of a dynamic team.
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