À propos
Capital One is a financial services company seeking a Machine Learning Engineer (MLE) to join their Agile team. The MLE will be responsible for productionizing machine learning applications, collaborating with various teams, and ensuring the performance and availability of ML systems.
Responsibilities : • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). • 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. • Use programming languages like Python, Scala, or Java.
Qualifications : Required : • Bachelor’s Degree • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 2 years of experience programming with Python, Scala, or Java • At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
Preferred : • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform • 1+ years of experience working with large code bases in a team environment • 1+ years of experience with distributed file systems or multi-node database paradigms • Contributed to open source ML software • 1+ years of experience building production-ready data pipelines that feed ML models
Company :
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services. Founded in 1994, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
Avis aux utilisateurs
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