AI Engineer for High-Performance Data Pipelines
7 days ago
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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