Data Architect

7 days ago


Dinan, Bretagne, United States Capital One National Association Full time
Job Description:

We are seeking an experienced Data Architect - Machine Learning Engineer to join our team at Capital One. As a key member of our Agile team, you will be responsible for designing and building data-intensive solutions using distributed computing.

Key Responsibilities:
  • Design and build scalable machine learning systems
  • Develop and deploy optimized data pipelines
  • Leverage cloud-based architectures and technologies to deliver high-quality ML models
  • Collaborate with cross-functional teams to create and enhance software that enables state-of-the-art big data and ML applications
Requirements:
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or 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 ML systems
Preferred Qualifications:
  • Master's or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or related field
  • Experience leading teams developing ML solutions using industry best practices, patterns, and automation
  • Knowledge of industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
About the Role:

This role is expected to work on high-priority projects and collaborate with other teams to drive business outcomes. The ideal candidate will have strong technical skills, excellent communication and collaboration skills, and a passion for innovation and problem-solving.

Compensation and Benefits:

The estimated salary for this role is $145,000 - $180,000 per year, depending on experience. In addition to competitive compensation, we offer a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and professional development opportunities.


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