Lead the design and evolution of scalable backend solutions on Azure using microservices and event-driven patterns. Provide technical vision, mentorship, and hands-on engineering to elevate team capabilities in an agile environment.
Design and implement AI solutions using RAG and agentic architectures to solve complex business problems. Manage data ingestion pipelines and deploy models using MLOps and serverless architectures.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines and deploy models using MLOps practices and serverless architectures.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines, serverless architectures, and MLOps practices to automate the deployment of AI models.
Design and maintain scalable data pipelines using PySpark and develop optimized Machine Learning models for predictive analytics. Integrate these models into production environments using MLOps best practices and AWS services.
