
Machine Learning Engineer
As a Capital One Machine Learning Engineer, you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
At least 6 years of experience designing and building data-intensive solutions using distributed computing.
At least 4 years of experience programming with Python, Scala, or Java.
At least 2 years of experience building, scaling, and optimizing ML systems.
2+ years of experience with data gathering and preparation for ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
Python
Java
Scala
Tensorflow
Spark
Pytorch
Time Management Skills
Verbal communication
Driven and self-motivated
written communication
Problem Solving Skills
Flexibility/Adaptability
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Machine Learning Engineer in 1680 Capital One Dr, McLean, VA 22102, USA is between $91,000 and $174,000. This salary range may vary based on experience, education, and other factors.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.

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