Top Hybrid Machine Learning Jobs in Philadelphia, PA

The Applied AI Scientist will develop advanced algorithms to solve complex problems, utilize statistical techniques on large datasets, evaluate emerging datasets, and contribute to thought leadership through research and publication.

As a Machine Learning Engineer at ZS, you will be responsible for building and scaling machine learning algorithms, monitoring model pipelines, writing production-ready code, and collaborating with client teams. Your role includes implementing MLOps and ensuring high-quality deliverables while keeping pace with the latest technologies.

The Distinguished Machine Learning Engineer at Capital One will provide technical leadership in developing and implementing machine learning applications. Responsibilities include delivering ML models, optimizing data pipelines, leveraging cloud technologies, mentoring engineers, and participating in the full ML lifecycle.

As a Data Analytics Senior Consultant at CNA, you will lead projects to create automated scorecards and scenario analysis tools, provide business insights based on data analysis, collaborate with underwriting leadership, and develop analytics solutions that enhance business strategies across commercial insurance products.