Description:
Key Responsibilities Develop, optimize, and maintain Python-based applications for AI/ML use cases.Build scalable data processing pipelines using frameworks such as Pandas, NumPy, and PySpark.Collaborate to train, evaluate, and deploy machine learning models.Implement endtoend ML workflows including feature engineering, model serving, and monitoring.Integrate AI capabilities into backend services using REST APIs, GraphQL, or gRPC.Apply best practices in version control, CI/CD, testing, and code
Feb 10, 2026;
from:
dice.com