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Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
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$112K - $147K/yr
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
Manhattan, NY · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Sr. Lead Machine Learning Engineer
Manhattan, NY · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Machine Learning Engineer Junior Remote information
Other
Posted 19 days ago
Job description
Jersey City, NJ, United States
About the JobWe're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities- Build and deploy the ML pipelines that power the company machine learning platform.
- Manage MLOps infrastructure to monitor and optimize models.
QualificationsExperience:
1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Proficiency across topics in machine learning and statistics.
Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
Experience implementing, deploying, and maintaining production machine learning systems.
Experience monitoring and optimizing model performance.
Experience with Linux, Docker and AWS, and basic development operations.
Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.