to design, develop, and deploy intelligent systems that solve real-world business problems. The ideal candidate must have strong experience in machine learning models, deep learning frameworks, and production-grade deployment of AI systems.
Key Responsibilities:
Design and develop machine learning and deep learning models for business applications.
Build, test, optimize, and deploy AI models into production.
Work with structured and unstructured data.
Perform data preprocessing, feature engineering, and model evaluation.
Develop scalable AI pipelines.
Integrate models using APIs and microservices.
Monitor model performance and handle model retraining.
Collaborate with product, engineering, and data teams.
Document model architecture, code, and processes.
Research new AI techniques and tools.