Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Capital One
Candidates must possess a Bachelor’s degree, and at least four years of experience programming with Python, Scala, or Java, including internship experience. They should also have at least three years of experience designing and building data-intensive solutions utilizing distributed computing technologies. Furthermore, a minimum of two years of on-the-job experience with industry-recognized machine learning frameworks such as scikit-learn, PyTorch, Dask, or similar is required.
As a Senior Machine Learning Engineer, the individual will be responsible for designing, building, and delivering machine learning models and components to solve real-world business problems in collaboration with Product and Data Science teams. They will also be expected to inform ML infrastructure decisions, write and test application code, develop and validate ML models, automate tests and deployment, collaborate within an Agile team to enhance software, retrain and maintain models in production, leverage cloud-based architectures, construct optimized data pipelines, and implement continuous integration and continuous deployment best practices while ensuring code quality, model governance, and adherence to Responsible and Explainable AI principles.
Offers diverse financial products and services
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.