Data Driven Cloud Specialist
2 days ago
The role of the Cloud Platform Machine Learning Engineer involves deploying, monitoring and scaling machine learning models on cloud platforms such as AWS or GCP. This includes building and maintaining continuous integration and delivery pipelines for ML workflows using tools like GitHub Actions or Jenkins.
Key Responsibilities:
- Design and implement data pipelines to process and transform large datasets
- Develop and deploy machine learning models on cloud-based platforms
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and NLP tasks
- Implement model registries, feature stores, and observability using tools like MLflow, Feast, and Prometheus/Grafana
Requirements:
- 2+ years of experience in machine learning engineering
- Proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, and PyTorch
- Experience with cloud-based platforms such as AWS or GCP
- Knowledge of data pipelines and workflow automation
Bonus Points:
- Experience with real-time machine learning serving, A/B testing, or media/recommender systems
- Knowledge of experiment design and causal inference
Nice-to-Have:
- Experience with subscription, media, or recommender systems
- Exposure to real-time machine learning serving using tools like KFServing, Seldon, or Ray Serve
Education:
- Related field such as Btech/Mtech degree
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