
Senior Machine Learning Engineer
3 days ago
Prior experience working with ML Ops and Data Science is essential.
We are seeking a skilled professional to:
- Deploy, monitor, and scale machine learning models on cloud platforms.
- Build and maintain continuous integration and deployment pipelines for machine learning workflows.
- Containerize and orchestrate workloads using Docker and Kubernetes.
- Implement model registries, feature stores, and observability solutions.
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing.
The ideal candidate will have proficiency in Python, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL).
Bonus skills include experience with real-time machine learning serving, A/B testing, or media/recommender systems.
Nice-to-have skills include knowledge of experiment design and causal inference, as well as exposure to real-time machine learning serving.
Education: Bachelor's or Master's degree in a relevant field.
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