Currently in the role of a senior associate, I am actively involved in orchestrating the development of on-premises and cloud infrastructures for robust big data analytics and ML platforms. This includes installation, configuration, and maintenance of IT infrastructure, encompassing both CPU and GPU servers, across on-premises and hybrid cloud environments. Additionally, I specialize in constructing and deploying containerized solutions tailored for Artificial Intelligence and Machine Learning applications.My expertise extends to the RDBMS ecosystem. I excel in the deployment, management, monitoring, and scaling of ML Models through a seamless CI/CD pipeline. This involves the proficient management of Big Data Hadoop clusters and AI/ML tools on both on-premises and cloud enterprise infrastructures, using Terraform for streamlined support.Furthermore, my role encompasses designing and implementing ML platforms optimized for large-scale data ingestion, storage, and processing. I am well-versed in constructing and maintaining infrastructure for distributed computing, spanning clusters, containers, and virtual machines.Developing and nurturing ML frameworks, libraries, and APIs to enable efficient model deployment by data scientists is a key aspect of my work. Implementing CI/CD pipelines for machine learning models, automating testing, validation, and deployment, is a crucial part of my skill set.I ensure robust security and compliance for ML platforms and infrastructure, encompassing data privacy, access control, and encryption. Monitoring the performance and reliability of these platforms and swiftly addressing any issues that arise is a core responsibility.Additionally, I provide valuable technical guidance and support to data scientists and machine learning engineers, assisting them in troubleshooting and optimizing their models. My credentials include certifications in AWS, Azure, IBM, and HashiCorp.