Generative AI Solutions Architect

Responsibilities:

· Design and develop production-grade AI and machine learning models for real-world applications (e.G., recommendation engines, NLP, computer vision, forecasting).

· Lead model lifecycle management from experimentation and prototyping to deployment and monitoring.

· Collaborate with cross-functional teams (product, data engineering, MLOps, and business) to define AI-driven features and services.

· Perform feature engineering, data wrangling, and exploratory data analysis on large-scale structured and unstructured datasets.

· Build and maintain scalable AI infrastructure using cloud services (AWS, Azure, GCP) and MLOps best practices.

· Mentor junior AI engineers, guiding them in model development, evaluation, and deployment.

· Continuously improve model performance by leveraging new research, retraining on new data, and optimizing pipelines.

· Stay current with the latest developments in ...