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1 day ago
Pursue a challenging role as a Machine Learning Engineer where you will be responsible for deploying, monitoring and scaling machine learning models on cloud platforms. Your key responsibilities include building and maintaining continuous integration/continuous deployment pipelines for machine learning workflows using tools like GitHub Actions, Jenkins or cloud-native tools.
- Deploy, monitor and scale machine learning models on cloud platforms such as AWS or GCP.
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations or NLP.
You should have proficiency in Python and machine learning frameworks such as Scikit-learn, TensorFlow or PyTorch. Familiarity with data pipelines like Airflow, Spark or SQL is also beneficial. Experience with real-time machine learning serving, A/B testing or media/recommender systems is a plus.
Key Requirements- Proficient in Python and machine learning frameworks.
- Familiarity with data pipelines.
- Bachelor's or Master's degree.
- Experience with real-time machine learning serving, A/B testing or media/recommender systems.
- Knowledge of experiment design and causal inference.
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