
Data Pipeline Architect
4 days ago
As a seasoned professional, you will be responsible for designing, developing, and deploying scalable and efficient machine learning pipelines using popular frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Develop and implement monitoring and logging systems to ensure seamless operation of ML models, utilizing tools like Prometheus and Grafana.
- Collaborate with cross-functional teams to implement experiment tracking and workflow orchestration tools like MLflow, Kubeflow, and Weights & Biases to optimize model performance and efficiency.
Required Skills:
- Proficiency in programming languages including Python and R.
- Experience with machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with data engineering tools such as Apache Spark and Hadoop.
- Knowledge of containerization using Docker and Kubernetes.
- Understanding of cloud computing platforms including AWS and GCP.
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