AI Engineer for High-Performance Data Pipelines

7 days ago


New York, New York, United States Capital One Full time
About the Role

At Capital One, we're seeking an experienced AI Engineer to lead our team in designing and building high-performance data pipelines that drive business impact. As a key member of our Agile team, you'll collaborate with cross-functional teams to create and enhance software that enables state-of-the-art big data and AI applications.

Key Responsibilities:
  • Design, build, and deliver AI models and components that solve real-world business problems.
  • Inform your AI infrastructure decisions using your understanding of AI modeling techniques and issues.
  • Solve complex problems by writing and testing application code, developing and validating AI 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 AI applications.
  • Retrain, maintain, and monitor models in production.

Requirements:
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
  • 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 AI systems.

Preferred Qualifications:
  • Master's or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
  • 3+ years of experience building production-ready data pipelines that feed AI models.
  • 3+ years of on-the-job experience with an industry recognized AI framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.

Compensation:
The estimated annual salary range for this role is $201,400 - $229,900, based on location and qualifications. Performance-based incentive compensation may also be available.

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