
Cloud Native Machine Learning Professional
18 hours ago
We are seeking a talented Machine Learning Engineer to lead the deployment, monitoring, and scaling of machine learning models on cloud platforms.
- The ideal candidate will have prior experience working with machine learning operations and data science.
- Key responsibilities include building and maintaining CI/CD pipelines for machine learning workflows using GitHub Actions, Jenkins, or cloud-native tools.
- This role also involves containerizing and orchestrating workloads with Docker and Kubernetes; managing infrastructure via Terraform or CloudFormation.
- The successful candidate will be able to implement model registries, feature stores, and observability using MLflow, Feast, Prometheus, or Grafana.
- They will collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing.
- Proficiency in Python, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) is required.
- Bonus points for experience with real-time machine learning serving, A/B testing, or media/recommender systems.
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