Senior Machine Learning Engineer

21 hours ago

US Eden MD USA Capital One Full time

About the Role:

Capital One is seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our Agile team, you will be responsible for designing, building, and deploying machine learning applications using existing and emerging technology platforms.

Key Responsibilities:

  • Design and develop machine learning models and components that solve real-world business problems.
  • Collaborate with Product and Data Science teams to inform ML infrastructure decisions.
  • 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 big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Requirements:

  • Bachelor's degree.
  • At least 4 years of experience programming with Python, Scala, or Java.
  • At least 3 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 2 years of on-the-job experience with an industry-recognized ML framework.
  • At least 1 year of experience productionizing, monitoring, and maintaining models.

Preferred Qualifications:

  • 1+ years of experience building, scaling, and optimizing ML systems.
  • 1+ years of experience with data gathering and preparation for ML models.
  • 2+ years of experience developing performant, resilient, and maintainable code.
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
  • 3+ years of experience with distributed file systems or multi-node database paradigms.
  • Contributed to open-source ML software.
  • Authored/co-authored a paper on a ML technique, model, or proof of concept.
  • 3+ years of experience building production-ready data pipelines that feed ML models.
  • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.

About Capital One:

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

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